Quantitative Research & Trading

Quantitative Research & Trading

Selby Jennings: A Specialist Quantitative Research & Trading recruiter in Singapore

Selby Jennings is a leading specialist talent partner for financial sciences & services. Our global Quants team provides permanent, contract, and multi-hire talent solutions in Singapore.

For nearly 20 years, financial firms and professionals have benefited from our extensive experience and global network.vFrom streamlining processes and upskilling workforces, to staying cutting edge by employing flexible working models, we advise enterprise leaders on when to strike and how. We also provide expert insight into Quantitative Research & Trading salaries in Singapore, and assist them through their career moves.

Winning โ€˜Best Executive Search โ€“ Quantโ€™, by HFM Award 2021, we are committed to helping our clients secure top Quants talent.

If you're interested in securing exceptional Quantitative talent in Singapore, request a call back today. If you're a Quants professional on a mission for Quantitative Research jobs, the Selby Jennings global Quants team delivers exceptional recruitment to industry-leading firms, from global investment banks, boutique hedge funds, and management consultancies, to software providers, and everything in between. Submit your CV/resume today and one of our talent consultants will get back to you if a role fits your profile.

If you are a candidate, please Register your CV and get discovered for all relevant roles.โ€‹

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โ€‹โ€‹If you are a client looking to source the best talent in Singapore, please Register Your Vacancy or Request a Call back.


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Benefits of working with Selby Jennings

We are a specialist talent/recruitment partner. Among the many benefits of working with Selby Jennings Quantitative Research & Trading team located in Singapore:

Experience

We have nearly 20 years of experience as a leading recruiter in financial sciences & services.

โ€‹Network

A vast, global network of the best, in-demand professionals, working with the worldโ€™s largest financial institutions to innovative fintech start-ups and beyond.โ€‹

โ€‹Knowledge

Our award-winning talent specialists offer bespoke, tailored guidance on the latest hiring trends and industry news to help you achieve your goals.

At Selby Jennings, we believe in fostering long-term partnerships based on trust, integrity, and mutual success. We strive to provide personalized solutions tailored to your specific requirements, offering flexible options to accommodate your Quantitative Research & Trading hiring preferences. Whether you need to fill critical positions quickly or are seeking strategic talent acquisition solutions, we have the resources and expertise to deliver results. Submit your vacancy to us today.

Take the first step towards overcoming your talent shortage today by completing the form. Our team looks forward to speaking with you to explore how we can partner with your organization to meet your Quantitative Research & Trading recruitment needs in Singapore efficiently and effectively.

Quantitative Research & Trading Jobs

Rates Volatility Quant Researcher

An established Macro PM at a leading $25bbn Hedge Fund is looking for a Rates Volatility Quant Researcher to join their team in NYC. The portfolio manager is specifically looking for someone adept at pricing model development, curve construction, product knowledge and development skills. The incoming QR will work on developing proprietary models to provide a competitive edge in the market. In addition to spearheading the creation of critical models and analytics, the QR will gain valuable mentorship in identifying trade opportunities in the space. This mandate allows for an experienced QR to leverage their preexisting skillset while further honing their abilities to drive PnL through actionable data insights. The ideal candidate will have: 4+ years of QR experience with an emphasis on rates vol (open to both sell-side and buyside talent) Strong modeling + coding skillset Ability to communicate clearly and succinctly in a fast paced environment Strong Python (C++ is a plus) Desire to work in a front office, buyside environment

US$350000 - US$500000 per year
New York
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VP Equity Derivatives Desk Quant (C++)

Role: VP Equity Derivatives Desk Quant (C++) Firm: Canadian Investment Bank (NY) Comp: $200K-$250K base, $350K-$425K total Job Description: A Canadian investment bank is expanding its Equity Derivatives Quant team in New York and is hiring at the VP level. Led by a new MD from a Tier 1 US bank, the team seeks expert C++ programmers with hands-on experience supporting equity derivatives, options/vol desks. This role offers autonomy and the chance to contribute to both research and daily desk quant responsibilities. The direct hiring manager has a PHD in a hard science field and value academic/research driven candidates. Key Responsibilities: Support equity derivatives desks and develop quantitative models/tools. Directly develop analytical models for equity volatility products in C++ Perform research to enhance models and market insights. Collaborate with traders on strategies and risk management. Qualifications: Strong C++ programming and equity derivatives experience. PhD in a hard science or related field, with a focus on research. Problem-solving and team collaboration skills. This is a great opportunity to join a growing team with a strong research focus and greater autonomy.

US$350000 - US$425000 per year
New York
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KDB Developer

A well know multi strategy hedge fund based in New York City is expanding its analytics team so is recruiting for a senior KDB quantitative developer. The quantiative developer will collaborate with analysts, quants and other developers to build critical tools and infrastructure to facilitate trading across a number of asset classes. The KDB developer will architect a research platform used by portfolio managers and quant researchers, write loaders, implement API functions for analytics and enhance trading efficiency by improving execution. This is an ideal role for a developer with KDB experience who wants to work in a role with great visibility to the trading process and wants to see their work directly impact and drive revenue. This is for one of the most successful trading firms in history with all the resources and knowledge necessary to set up you for success. Requirements: Proven experience coding in KDB in a trading environment Experience with time-series data Experience with real-time data processing Ability to work in cross functional teams Knowledge of financial markets and trading Experience with equities would be a bonus

US$300000 - US$600000 per year
New York
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Trade Support Engineer

Responsibilities: Providing efficient technical support for quantitative trading systems, working with exchanges, brokers, and other partners to troubleshoot production trading systems. Collaborating with trading, technology, and operations teams to ensure trades are executed and booked with brokers, and communicating the design requirements for pre-trade, at-trade, and post-trade risk control. Connecting with vendors to promptly address market data and trading-related technical issues. Coordinating cross-departmental requirements related to trading technology. Requirements: Bachelor's or Master's degree in Computer Science, Software Engineering, Information Technology, Finance, Statistics, or a related field. 1-3 years of work experience in trading, or relevant internship experience for undergraduates/graduates. Strong communication skills in both Chinese and English. Detail-oriented, team player with a strong capacity for implementation and responsibility. Passionate about securities and futures trading. Experience in supporting or maintaining low latency trading systems is a plus.

Negotiable
Hong Kong
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Commodity Quantitative Researcher

This role is within a pod environment where the candidate would be working under an established quantitative commodity Portfolio Manager, who has a long track record and an impressive background. Responsibilities Developing alpha strategies for commodity futures. Implementing systematic commodity strategies. Contributing to the research and trading pipeline, including Risk and Factor Modelling. Requirements Advanced degree in a quantitative field such as Mathematics, Physics, Computer Science, or Engineering. Demonstrated experience in commodities, ideally with Gas and Power products. Capacity to excel in a fast-paced environment. Strong coding skills in at least one of the following programming languages: Python, R, Matlab and /or C++, C#.

Negotiable
London
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Quant Portfolio Manager

A systematic prop trading firm is looking to bring on experienced quantitative traders from the derivatives space who can either plug and play an existing strategy or launch a new one on their platform. The firm is known for their exceptional technology and infrastructure which allows traders to scale and maximize returns. They are able to support most global markets. In addition to allowing traders to sit remotely, they can offer highly competitive % splits unlocking unparalleled upside. Responsibilities: * Launch and run your existing strategy on their platform to maximize returns * Stay up to date on market news to find creative ways to improve strategy * Monitor and manage the risk exposure of the portfolio * Collaborate with senior leadership to launch new initiatives Qualifications: * 1+ years live track record, ideally 3+ Sharpe * 5+ YOE in the systematic trading space with a deep understanding of derivatives markets * B.S.+ in a quantitative field (Math, Stats, Comp Sci, Physics)

US$150000 - US$250000 per annum + Competitive % split
Chicago
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Quantitative Trader - Commodities

A prop trading firm in Chicago is looking to add a trader with commodity options market making experience. The firm has been around for 5+ years and was founded by individuals who spent time at top firms across the industry. They offer a very close and collaborative environment that will allow for lots of transparency and the opportunity to make an impact immediately. Responsibilities: Actively manage and reconcile the desk's position to ensure profitability Monitor trading algorithms and offer feedback to developers and researchers on areas that can be improve Create and grow relationships with brokers and other trading counter parties Create new trading strategies to increase desk profitability and capture market share Qualifications: 2-5 years of experience with a proven track record at a trading firm Strong understanding and knowledge of options pricing Prior experience dealing with brokers and OTC products B.S. / M.S. / PhD in CS, stats, Mathematics, Physics from a top 25 university Proven success in a high frequency trading environment

US$200000 - US$300000 per annum
Chicago
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C++ Quantitative Developer

I'm working with the Founder of an Asian based multi-strategy hedge fund that specializes in trading systematic equities & futures trading strategies across APAC and U.S. markets. The group utilizes cutting edge technology, machine learning and statistics in order to generate their signals, and while they mainly trade China, HK and U.S. markets, they are continuing to expand their market access to other exchanges and are scaling globally. Their NY operation is comprised of industry veterans coming from top-tier financial institutions and advanced degrees from Ivy league universities. Given their continued success and strong performance across the last several years, they are adding to their NYC operation and are specifically looking for a C++ Quant Developer who is well versed with building algo execution models and strategies. Responsibilities: Researching, building and implementing execution based trading algorithms in Python & C++ Developing and enhancing execution and data systems C++ Collaborating with the Quant PM and Quant Research team to generate and integrate market microstructure alphas

US$150000 - US$200000 per year + +Bonus
Manhattan
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Quantitative Engineer (m/f)

Role Overview: The Quantitative Research Engineer will enhance the firm's data and research platforms. This role involves working closely with quantitative researchers to develop innovative tools and systems, streamlining research processes and improving data analysis and simulation capabilities. The ideal candidate will possess strong technical skills, problem-solving abilities, and effective teamwork. Key Responsibilities: Collaborate with researchers to understand workflows and provide technical solutions. Develop and maintain software tools and frameworks for research activities. Implement advanced data processing techniques and statistical methods. Build scalable systems for large-scale data analysis and experimentation. Conduct code reviews and mentor junior engineers. Integrate research tools into existing infrastructure. Evaluate and implement third-party tools and data sources. Contribute to research discussions and improve methodologies. Maintain documentation and training materials. Qualifications: 4+ years of experience with quantitative research and alpha strategies, preferably at a hedge fund. Master's or Ph.D. in Computer Science, Engineering, Data Science, or related field. Exceptional Python programming skills. Experience with graph analysis tools like NetworkX and distributed computing tools like Dask or Ray. Proficiency in data processing, analysis, and visualization. Understanding of statistical modeling and machine learning applications. Knowledge of L1, L2, and L3 market tick data. Experience with AWS, Linux, and Docker. Strong problem-solving and communication skills. Experience mentoring junior team members is preferred.

Negotiable
Zurich
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Quant Developer - Equities

Key Responsibilities: Develop, implement, and maintain quantitative models and trading systems. Collaborate with traders and quantitative analysts to understand their needs and provide technical solutions. Optimize and enhance existing codebases for performance and scalability. Conduct thorough testing and validation of models and systems. Stay updated with the latest industry trends and technologies to ensure our systems remain at the forefront of innovation. Requirements: Excellent grasp of C++ programming language. Proficiency in C# and Rust is highly desirable. Strong experience in equities or FX markets. Solid understanding of financial mathematics and quantitative modeling. Ability to work in a fast-paced, high-pressure environment. Strong problem-solving skills and attention to detail. Excellent communication and teamwork abilities. Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field. Preferred Qualifications: Experience with low-latency trading systems. Knowledge of other programming languages such as Python or Java. Familiarity with machine learning and data analysis techniques. What's on Offer: Competitive salary and performance-based bonuses. Opportunities for career growth and development. A collaborative and inclusive work environment. Access to cutting-edge technology and resources. Comprehensive benefits package.

Negotiable
Paris
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Trade Execution Engineer

Trade Execution Engineer - Revolutionize Trading Key Responsibilities: Execute trades using alpha signals from quantitative research across various asset classes. Take full ownership of your execution strategy development. Manage brokerage connectivity to facilitate smooth trade executions. Design automation processes for efficient record keeping, PnL reporting, and statistical analysis tools beneficial to traders. Required Skills Explained: Python Programming: You should possess strong coding skills specifically in Python-our primary programming language used for developing complex trading systems efficiently Rust Knowledge (Advantageous): Familiarity or proficiency with Rust offers additional leverage due to its performance-oriented capabilities ideal for system-level tasks related executing trades effectively Statistical Analysis Foundation: A solid understanding is necessary so you can engage confidently in correlation analysis, conduct thorough A/B testing procedures, and provide insightful post-trade evaluations Apply today if challenging norms excites you! We're not just building platforms; we're laying down pathways towards establishing global economic ecosystems where creativity meets competition-and wins!

US$175000 - US$350000 per year
New York
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Quantitative Trader / Researcher, Systematic Equities

We recently partnered with the CIO at a Family Office based in NYC that takes both a fundamental and systematic approach to investing equities. Role Description This is a hybrid opportunity to work on both quantitative research and trading strategies in the Systematic Equity Space with a collaborative and like-minded team. The Quantitative Researcher/Trader will be responsible for researching quantitative trading signals, monitor portfolio performance, executing trading strategies. This role involves actively participating in the idea generation process and utilizing analytical skills to make informed investment decisions. Qualifications 2+ years experience in equity trades or on and equity trading desk Strong ability to create and implement trading strategies Excellent mathematical and statistical aptitude BA or MS in a STEM field from a credited university Strong programming skills in Python

US$150000 - US$400000 per year
New York
Apply

Quantitative Research & Trading News & Insights

Key Insights into the Quants Market in APAC Image
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Key Insights into the Quants Market in APAC

The quants market in the Asia-Pacific (APAC) region is undergoing dynamic changes, and industry experts are sharing valuable insights gathered from events like QuantMinds. Matthew Tjoa, Head of Quants and Tech at Selby Jennings Singapore, recently attended the QuantMinds 2023 event in London to discuss the trends and challenges shaping the APAC quants landscape. โ€‹Here are some of Matthew's key takeaways from the event, and his advice for companies looking to hire the best talent in quants:Market Resilience in the Face of ChangeHow does the quant space respond to new market regimes, and what is the outlook despite global uncertainties?Despite challenges faced by some major players, the quant finance space remains largely independent of market shifts, and is showing resilience and growth. Larger hedge funds and prop shops are diversifying into new frequencies, strategies, and asset classes, indicating ambitious growth plans for 2024.AI and Machine Learning IntegrationWhat were the main discussions at QuantMinds regarding the implementation of AI and ML in quant research?Discussions at QuantMinds focused on integrating AI and ML into quant processes. While the impact is expected to be substantial, industry experts agree it will take time to significantly affect the sector. Quality data sets are deemed crucial.Hiring Outlook and Regional ConsistencyWhat can hiring managers anticipate in terms of opportunities in 2024?The consensus is that demand for quants will stay high in the coming year. Hiring managers can expect increased opportunities in 2024, with optimism from the sell side. Technical skillsets are being consistently prioritized and are highly sought after, especially in areas like modelling and machine learning. Additionally, the ability to communicate complex ideas to non-technical stakeholders is crucial. Interestingly, these desired skills and qualities in candidates are largely consistent across regions.Hotspots for Quants HiringIn which areas and geographical locations is there a pronounced demand for quants talent?Geographical hotspots for quants talent include London, Amsterdam, Singapore, Hong Kong, Dubai, and Abu Dhabi, particularly for roles in modeling, research, statistical arbitrage, and machine learning. Challenges in Hiring and Candidate PreferencesWhat are the significant challenges companies face when hiring quants talent?One of the major challenges is a lack of understanding of candidate preferences. Failing to comprehend candidates' desires for a conducive working environment, competitive compensation, challenging problem sets, flexibility, or stability can all hinder successful hiring.Candidate Priorities and Decision-Making FactorsWhat factors are critical for quants professionals seeking new roles?Quants professionals most often prioritize compensation, autonomy, and the freedom to explore new ideas. Mid-junior candidates, in particular, are attracted to roles offering optionality in job scope and internal opportunities.Advice for CompaniesWhat is your advice for companies looking to hire quants talent?Companies should utilize their talent partner to attract and secure the most in-demand talent. In a candidate-starved market, talent partners can offer invaluable insights into candidates' motivations and provide guidane on your salary and total compensation packages, reducing the likelihood of missed opportunities and ensuring a more informed hiring process.โ€‹If you are seeking additional insights around the APAC Quantitative Analytics, Research & Trading market, please request a call back, and Matthew's team will get in touch with you. Request a call BACKIf you are exploring the next opportunity in Quantitative Analytics, Research & Trading, submit your CV today.

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Revolutionizing Quantitative Research and Trading: The AI Advantage in Financial Sciences

The Importance of AI in Quantitative Research & Tradingโ€‹Artificial Intelligence (AI) has emerged as a transformative force in the field of quantitative research and trading, revolutionizing the way financial data is analyzed and investment decisions are made. The integration of AI technologies brings about a paradigm shift, offering unparalleled advantages to professionals in the Financial Sciences & Services sector. โ€‹In quantitative research and trading, the significance of AI lies in its ability to swiftly process vast datasets, providing traders and researchers with the capacity to make informed decisions at unprecedented speeds. The utilization of AI facilitates faster data analysis, enabling traders to digest large volumes of information quickly and make intelligent, data-driven choices. This acceleration in decision-making can be a critical factor in the highly dynamic and competitive landscape of financial markets. โ€‹Artificial Intelligence (AI) and Machine Learning (ML) in Quantitative Researchโ€‹At the core of AI's impact on quantitative research is Machine Learning (ML), a subset of AI that enables systems to learn and improve from experience. In quantitative research, ML algorithms play a crucial role in data analysis and pattern recognition. These algorithms can uncover intricate market trends, providing insights that might elude traditional analytical approaches. The integration of AI and ML in quantitative research enhances prediction models, contributing to more accurate forecasts of market trends and behaviors. โ€‹Big Data and Data Analyticsโ€‹The marriage of AI with Big Data has redefined the landscape of quantitative research and trading. AI's ability to handle massive datasets in real-time allows for a more comprehensive analysis of market conditions. Through advanced data analytics, AI can identify subtle patterns and anomalies that may be crucial for making strategic investment decisions. The synergy between AI and Big Data empowers professionals in financial sciences and financial services to extract actionable insights from the ever-expanding sea of financial information. โ€‹Natural Language Processing (NLP)โ€‹Natural Language Processing (NLP) is a key component of AI that plays a pivotal role in quantitative research. By analyzing and understanding human language, NLP enables AI systems to process vast amounts of unstructured data from sources such as news articles and social media. In the realm of quantitative research and trading, NLP contributes to sentiment analysis, helping traders gauge market perception and make decisions based on the collective sentiment of investors. โ€‹Blockchain and Decentralized Finance (DeFi)โ€‹The integration of AI with blockchain technology is reshaping quantitative research and trading, particularly in the era of Decentralized Finance (DeFi). Blockchain ensures transparency and security in financial transactions, and AI enhances the analysis of blockchain data. This combination is particularly relevant in the evolving landscape of DeFi, where decentralized platforms and smart contracts are becoming integral parts of financial systems. โ€‹Interdisciplinary CollaborationAI's impact on quantitative research goes beyond technology; it fosters interdisciplinary collaboration. The collaboration between AI experts, data scientists, and financial professionals leads to innovative approaches in understanding and navigating financial markets. This interdisciplinary synergy results in the development of sophisticated algorithms and models that enhance the precision and efficiency of quantitative research and trading strategies. โ€‹Why Choose Us?โ€‹When navigating the transformative landscape of AI in quantitative research and trading, choosing the right talent partner is paramount. Selby Jennings, with 20 years of experience as a trusted talent partner in financial sciences & services, stands as a beacon of expertise in identifying and delivering business-critical talent. Our commitment to staying at the forefront of industry trends and providing bespoke guidance ensures that our clients gain a competitive edge in recruiting the brightest minds in the evolving landscape of quantitative research and trading. Partner with us, and let our award-winning talent recruiting specialists guide you toward success in the era of AI-driven financial sciences.If you are looking to hire talent in this space, please request a call back, and our team will be in touch with you. Request a call backIf you are a professional in this space, submit your CV and start the next part of your career journey with Selby Jennings.Submit CV

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APAC Quantitative Analytics, Research & Trading Salary Guide

Elevate Your Success in Singapore's Thriving Finance LandscapeSelby Jennings presents the APAC Quantitative Analytics, Research & Trading Salary Guide, your indispensable tool for benchmarking your team and yourself in Singapore's flourishing Quants sector. As Asia's finance industry continues to thrive, market leaders and investment funds are converging on both Mainland China and Singapore. This convergence has sparked an insatiable demand for top-tier Quantitative Analytics, Research & Trading professionals, driving compensation packages up.In today's ever-evolving economic climate, Quantitative Analytics, Research & Trading experts play a pivotal role in shaping winning strategies. Their value skyrockets, especially in riskier markets, fueling the aggressive hiring of Quant professionals across Asia.To excel in this fiercely competitive arena, businesses must fine-tune their hiring processes, empower their workforce with advanced skills, and maintain flexibility to attract and retain top talent. Quant professionals should consistently benchmark their salaries against industry standards to ensure they remain at the forefront of their field.

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Southeast Asia Salary Guide 2023

โ€‹Stay Ahead in Southeast AsiaDiscover the 2023 Salary Guide for Hiring and Job HuntingDetermine what you should be paying your employees, or how much you could be earning.Stay ahead of the competition with valuable insights into salary trends, bonus structures, and compensation benchmarks across various roles and sectors within the Southeast Asia region. Our comprehensive 2023 Salary Guide is specifically tailored to provide you with the information you need for successful hiring and job hunting in Southeast Asia.Whether you're a professional seeking to understand your remuneration better or an employer looking to attract and retain top talent, our salary guide is your essential resource. With in-depth analysis and up-to-date data, you can make informed decisions that maximize your financial success.Our latest salary guide covers the following sectors:โ€‹Investment BankingInvestment ManagementWealth ManagementQuantitative Analytics, Research & TradingRisk ManagementFinancial TechnologySales & Trading

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Surging Demand for Quantitative Roles in the APAC

The Asia-Pacific (APAC) region, home to a diverse mix of economies from China and Japan to India and Australia, has seen a significant surge in demand for Quantitative roles over the past decade. This trend is indicative of the region's mounting appetite for advanced data analytics and algorithm-driven decision-making strategies.Quantitative roles, or "Quant roles," employ a comprehensive array of mathematical and statistical methodologies to interpret complex financial and economic patterns. The application of these skills extends across a range of sectors such as finance, technology, and e-commerce, amongst others.Quant Roles: An IntroductionQuant roles typically involve the application of advanced mathematical and statistical techniques to solve complex problems. This could include creating models to predict economic trends, valuing financial derivatives, creating algorithms for high-frequency trading, and many more diverse applications.The application of these roles is particularly prominent in the financial sector. In Investment Banking, for instance, 'Quant Analysts' or 'Quants' are often sought after for their ability to analyze and interpret complex financial data, create risk models, and use quantitative algorithms to advise on investment strategies.Why the Sudden Surge in Demand?1. Digital Transformation:APAC's aggressive digital transformation agenda is a critical driving factor behind the rising demand for Quant roles. Companies are rapidly adopting data-driven decision-making strategies, which require skilled professionals who can analyze, interpret, and derive insights from complex datasets. In effect, this has increased the need for Quants who can leverage their skills in statistics, machine learning, and data analysis.2. FinTech Revolution:The FinTech revolution in APAC is another significant contributor to the burgeoning demand. The complexity and scale of financial markets in economies like China, India, Japan, and Australia require sophisticated models for risk management, derivatives pricing, and algorithmic trading, thereby expanding the role of Quants.3. AI and Machine Learning Boom:The APAC region has shown a remarkable appetite for adopting AI and machine learning technologies. These fields inherently rely on quantitative analysis, further driving demand for professionals with strong quantitative skills.Challenges and OpportunitiesWhile the demand for Quant roles is escalating, the supply of such professionals is lagging. This mismatch between the increasing demand and the lagging supply of professionals in Quantitative roles results in a significant talent gap in the market. Numerous industry reports and academic studies have pointed out this trend, emphasizing the urgent need to bridge this gap. The shortage of professionals in these roles not only presents challenges but also underlines the opportunities available for aspiring individuals in the APAC region, further emphasizing the importance of addressing this talent crunch.However, this scenario presents significant opportunities. The talent gap can motivate academic institutions and industries to work collaboratively in nurturing and upskilling talent to fulfil this burgeoning demand. There is also a rising trend in the APAC region for professionals to pivot into Quant roles by upskilling through specialized courses and degrees in data science, statistics, and financial engineering.Looking to hire?The expanding demand for Quantitative roles in the APAC region offers significant opportunities amidst the challenges. With an extensive global network and a deep understanding of the financial and quantitative landscape, Selby Jennings is well-positioned to help businesses navigate this talent crunch.Our tailored approach and strong focus on the needs of both businesses and professionals make us adept at bridging the talent gap and connecting organizations with the right Quantitative talent. As businesses continue to leverage the power of data and quantitative analysis, partnering with Selby Jennings is a strategic move towards success in the rapidly evolving digital economy.Given the urgent need for Quantitative professionals and the unique challenges in sourcing such talent, we encourage businesses to contact us or reach out by requesting a call back.

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6 FAQs on Quant Finance Careers

Quantitative Analytics, Research & Trading is currently one of the highest paying fields within Financial Services and has become a much sought-after career option in the industry. With Asia emerging as the worldโ€™s fastest growing economic region, it is attracting many new entrants. For professionals building a career in Asia's Financial Sciences & Services industry, it is critical to be forward-thinking and innovative. Employers, on the other hand, must strive to attract and retain top talent. Over the past two years, Asiaโ€™s strong wage growth has prompted many Quantitative Finance and Technology experts to consider changing careers, particularly in Investment Banking. In order to remain competitive, banks are making concerted efforts to improve the development of junior managers, with some banks going as far as offering a 10-20% salary increase for Quantitative Engineering roles. Keen to stay up to date with China's Financial Services market updates, exclusive industry insights, and the latest job openings? Follow us on WeChat. Follow us on WeChat.According to Yuqi Ding, Assistant Vice President of Selby Jennings and a specialist in Quantitative talent, โ€œIt is difficult to predict the future direction of the talent market in the Quantitative Finance field. Therefore, deciding who to hire, how to hire, and whether it is the right time to find new development space is not a simple matter. At this time, professional talent specialists are particularly important.โ€ Here Ding Yuqi addresses some frequently asked questions regarding current trends. โ€‹When planning a career in the Quant Technology sector, what are the career development objectives I should be focusing on? โ€œThe Quantitative industry in Asia generally follows a linear structure, with clear roles consisting of Quantitative Researchers, Portfolio Managers, and Team Leads. โ€œThose with 2-3 years of work experience are deemed to have completed the fundamental entry-level step needed to be recognized as an industry newcomer. Gradually, they amass trading experience or develop strategies in a specific area, to become either a Portfolio Manager or Team Lead, managing investment portfolios and making independent investment decisions with the company's support.โ€ โ€‹After how many years of experience should I seek a new role or progression? โ€œLooking beyond unpredictable macroeconomic fluctuations, the ideal time for a job transition is determined by how well the current organization meets an employee's individual professional goals. For example, Quantitative professionals in sell-side investment banks, who have been there for more than two years, may find it more difficult to switch to a buy-side Quantitative hedge fund. As such, it is important to factor this into the decision-making process. โ€œMeanwhile, Quantitative researchers in a buy-side Quantitative fund, who have been in their role for more than two years, may contemplate a move into portfolio management. For more established, independent portfolio managers however, it is advisable to explore new platforms when their strategies have had a consistent track record for an extended time. โ€œThroughout the process, it is crucial to remain alert to shifts in the talent market. If the current environment prevents you from developing your strategy and launching new products, it would be prudent to pursue an organization with a more accommodating environment to avoid increasing your opportunity cost by staying.โ€ โ€‹What is considered as โ€˜job-hoppingโ€™ to companies that are hiring for Quant & Tech talent? โ€œIt is very likely that organizations and talent specialists will overlook applicants with consecutive short-term employments that span less than one year due to their lack of stability. This standard is consistent, whether they are applying to local Chinese hedge funds or firms overseas. โ€œWhen a job switch was caused by factors beyond their control, candidates can provide an explanation when approaching new opportunities to pass initial screening stages. These can include, for instance, a company's funding problem or a shift in management. โ€œMore experienced individuals who have held jobs for a longer period of time can usually excuse shorter tenures earlier in their career. However, for junior applicants who that cannot provide a valid justification for previous short tenured employments, they may be declined an interview altogether.โ€ โ€‹When is the best time to change roles, a) during the year, and b) in relation to my career timeline? โ€œMarch and April are considered the most opportune seasons for job-seekers in this market, when the majority of job vacancies become available. Therefore, your prospects of finding a new job are more favorable in this period than any other time. โ€œWhilst it is common for Quantitative hedge funds to hire candidates year-round, some even go as far as to create positions for the most suitable applicants they encounter. Therefore, it is recommended that job seekers remain abreast of the current market trends, and engage with the support of professional talent partners to ensure they stay updated with any opportunities. โ€œThose who are working in Quantitative roles or data/algo-related roles on the sell-side that demonstrate enthusiasm for buy-side Quant research opportunities should make the switch as soon as possible, as the longer they stay on the sell-side, the harder it may become to switch career paths.โ€ โ€‹Is it feasible to transition into FinTech with prior experience solely in a pure tech environment (e.g. software)? โ€œOver the past two years, the tech industry has changed immensely, resulting in many software Engineers considering a new path in Quantitative Finance.โ€ โ€œOrganizations in this market generally prefer applicants with financial industry experience, however, if an applicant possesses strong technical expertise and familiarity with cutting-edge technologies such as machine learning, deep learning and programming projects, they will likely qualify for a position in funds.โ€ โ€‹What are the current Quant talent hiring trends in the industry? Is now a good time to be looking for new opportunities?Regardless of any challenges in the industry, Quantitative Analytics, Research & Trading is still ripe with opportunities, and Selby Jennings is here to support those hiring, and those looking for new roles for themselves, as a specialist talent partner in FinTech and other Financial Services. Feel free to reach out to our talent specialists and begin a discussion about your career trajectory.โ€‹If you are a job-seeker, Register with usand submit your CV to begin browsing our job openings. If you are a client looking to source the best talent, please Submit your vacancyor Request a call backfor an introduction to our hiring services.Stay up to date with China's Financial Services market updates, exclusive industry insights,and the latest job openings by following us on WeChat.Quickly follow us by scanning the QR code with your WeChat app below:โ€‹

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3 ways to navigate bidding wars for Quants talent

Bidding wars are becoming a regular occurrence in the Quants market. Historically, a Quants professional could have 1-2 competing offers on the table, but nowadays that number is closer to 2-4 offers.ย There are a variety of non-monetary factors for job candidates to consider when in a bidding war for them, and for businesses wanting to snap up the very best Quants professionals, we have seen the three following steps have the most impact in securing top talent:ย โ€‹1. The time when issuing an offerย ย Finance firms are sometimes hesitant to be the first to make an offer, as they donโ€™t want their offer to be leveraged against other competitors. However, here at Selby Jennings we do recommend to businesses be the first to offer in the current market, as it allows a firm to have more control over timelines and positions themselves more strategically, being proactive, not reactive when it comes to acquiring top talent.ย When a company is the first to offer a competitive package, it bodes well with Quants professionals, and it gives them a positive impression and experience. At Selby Jennings we have had top talent take the first offer that was monetarily lower because the job candidate appreciated that the company was the first to move forward within the range they originally requested.ย Separately, if the first offer is competitive, it gives financial firms the ability to entice top talent to withdraw from other competing processes and move forward with their offer. This may not always be the case, particularly in a hot market, but itโ€™s definitely worth a try and has helped to avoid a bidding war altogether in some cases weโ€™ve experienced at Selby Jennings.ย โ€‹2. Establishing a quick, yet fair offer deadlineIf a company is slow to put together an offer, there is a greater chance for a competing offer to arise. It is therefore vital that an official deadline is in place and that offers arenโ€™t sitting for multiple weeks. While you want talent to join your firm of their own volition, the longer an offer is sitting on the table, the more time there is for something to go wrong.ย It is crucial for finance firms to be proactive here and it is beneficial from the very start to be transparent on how long you expect the process to take. If a company is fair and upfront about their own timeframes (say for example if a hiring manager is on leave which could slow a process), they should expect the same from Quants professional within the process. At Selby Jennings, we recommend setting a deadline for accepting an offer, and also giving professionals the chance to discuss the offer to help further fast-track talent processes.ย โ€‹3. Regular touchpoints with talentIdeally, businesses hiring will have a few touchpoints following the final round of interviews in order to put their best foot forward with their potential new team member. The first follow-up call after the final interview can include a verbal offer, but an informative call should answer any questions on the backend. A final call serves as a last attempt to sell the firm and role before the decision needs to be made.ย There could be a few more calls depending on the type of position, but we recommend coffee meetings, dinner or something similar, as the personal touch is very important. We advise firms to issue an official (written) offer within 48 hours (ideally 24) after giving a verbal offer and adding a 7-day deadline. This shows commitment while at the same time signalling that you arenโ€™t willing to wait forever.ย As innovation and new technologies move the financial services industry forward, there is an increasing technical demand for quantitative research & trading professionals that make it harder for firms to find the right talent.With nearly 20 years of extensive experience and a well-garnered client network, Selby Jennings has unrivalled expertise to secure the brightest minds from systematic traders, modellers, developers, portfolio managers, to risk analysts. We shape the talent landscape and influence the trajectory of growth for global investment bankers, boutique hedge funds, management consultancies, software providers, and everything in between.โ€ฏConnecting top professionals with industry-leading opportunities, while providing complementary market research and insights, we harness our network and pair our expertise with advanced technology to secure Quants talent with speed, accuracy, and a reach that spans three continents.โ€‹Looking to speak to someone on the Quants team?REQUEST A CALL BACKโ€‹Search the latest Quants roles:VIEW JOBS HEREโ€‹

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Oliver Cooke joins panel on diversity at QuantMinds International Image
quantitative-research-and-trading

Oliver Cooke joins panel on diversity at QuantMinds International

โ€‹โ€‹We are delighted to announceOliver Cooke, Managing Director of North America, will be speaking at QuantMinds International. Taking place in Vienna on 13-17 May, QuantMinds International is now in its 26thyear and is the worldโ€™s leading quant finance event. 400+ experts from banks, buy-side, regulators, Silicon Valley, academia and beyond join together to learn, network and share expertise on the biggest issues facing the industry. Hear the latest breakthrough research and latest technical case studies from some of the worldโ€™s most revered quant thought-leaders.Oliver will be on the much-anticipated panel,Diversity in Quant Finance: Examining the Route to Progress, to discuss how our clients attract, retain and develop diverse talent. Last month, QuantMinds International shared that onlyย 8.3%ย of quant professionals globally are women.ย Oliver will joinJessica James, Managing Director atCommerzbank;Katia Babbar, Founder of AI Wealth Technologies; andBirgit Rudloff, Professor of Mathematics for Economics and Business atWU.โ€œQuant is one of the areas where diversity is lacking in regards to female talent,โ€ said Oliver Cooke about the industry. โ€œWeโ€™ve seen some progress in recent years, but thereโ€™s still a lot of work to do. Every single one of our clients is concerned with improving the diversity of their workforce, particularly now that thereโ€™s a wider consensus thatdiverse teams produce better results.โ€Registration for the event isย now open. Enjoy an exclusive 15% discount. Click 'learn more' below to book tickets.--------------About UsSelby Jennings is a leading specialist recruitment agency for banking and financial services. For more than 15 years, we have given clients and candidates peace of mind that the recruitment process is in expert hands. Our continual investment in best-in-class technologies and consultant training enables us to recruit with speed, precision and accuracy. Today, Selby Jennings provides contingency and retained search recruitment across 11 offices in 6 countries.ย Contact usย to find out how Selby Jennings can help you.

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Why Creativity is Key to Attracting and Retaining Quantitative Talent Image
quantitative-research-and-trading

Why Creativity is Key to Attracting and Retaining Quantitative Talent

โ€‹โ€‹The rivalry for talent in quantitative research is extremely competitive, and banks are finding that the promise of a large pay check is no longer enough to lure the brightest quantitative minds. As more quantitative analysts leave the financial sector in search of more innovative opportunities, many banks have come to the realization that it is time for a change. If banks want to attract and retain the top quant talent, they need to be more creative with what they can offer.The Rise of the QuantQuants talent is in high demand; not only by banks looking to make the most of their data, but also by hedge funds,ย fintechย companies, and tech firms. ย In an article featured in the Wall Street Journal, Luke Ellis, CEO of Man Group, explained just how fierce the competition has become: โ€œGoogle is trying to hoover up every data scientist in the world. Google has got more money than I have. I canโ€™t compete with Google just on that.โ€ย So What Do Quants Want?While quants may be able to command a high salary, that does not mean they are all driven solely by compensation.For quants looking to progress their career, banks are not always the most tempting option. Even though the days when investment banking was full of aggressive traders are behind us, most banks still lack the academic research opportunities that other companies can offer to quants.In contrast, many tech giants not only have the innovative, creative appeal that many quants are drawn towards, but they also are fully engaged with academia. Google, Microsoft and Facebook, for example, all churn out a large number of research papers every year, which is not common in banks. ย However, in order to compete, some banks and hedge funds are starting to pitch themselves as research centers where employees are able to work as a team to solve problems and publish original research.Man Group, for example, financially backs a quantitative research laboratory at Oxford University. Since they are eager to tap into quantsโ€™ preference for a more collaborative work culture, the hedge fund has also made its trading data accessible to the public. Man Group is just one company thinking more creatively about how to attract and retainย quantย talent, and many others are testing similar strategies.If the Price is Rightโ€ฆWhile not necessarily top of aย quantย candidateโ€™s wish list, salary remains a fundamental part of any employerโ€™s offer.With the right experience and a good Masters orย PhD, quants can earn in the region of $150,000 to $200,000 from the start of their career. According to some sources, tech giants also front-load pay to their top quants, giving them $150,000 to $200,000 in stock over five years โ€“ thus making it much harder for those employees to go elsewhere.With banks and hedge funds often paying theirย tradersย double these figures, they have to rethink the allocation of salaries across the organization. It has been reported that some quants on Wall Street feel that they are โ€˜second-class citizensโ€™ compared to investment bankers or hedge fund managers, due to the difference in compensation.ย This perception needs to change if banks hope to be an employer of choice for quant candidates in the future.The Battle for Quant TalentThe nature of quant work is challenging. It uses a complex blend of math, finance and IT to generate profits and reduce risk. Top talent will have years of rigorous study and experience under their belts. It stands to reason that the environment in which they do this should also be as challenging, motivating and inspiring.But this means that banks are faced with a quandary: how to create a culture that is desirable to quants?The starting point is to create an environment that is more conducive to supporting the research quants wish to pursue. In the sameย wayย Google used to encourage employees to spend 20% of their time on their own passions โ€“ for quants, the solutions they are building are more motivation than a large paycheck. Giving them time to explore and invest in their research may help with retention efforts.Google may haveย cancelledย its policy, but other firms are finding similar policies are working for them. LinkedIn, Apple and Microsoft each have their own versions, offering employees the chance to work on their own projects and ideas, an opportunity that is enticing for quant talent.Other firms need to follow suit and make their own adjustments โ€“ not only to their recruitment strategies but to their wider company culture and values as well.To learn more about strategies for attracting and retaining top quant talent, get in touch with Selby Jennings today.--------About UsSelby Jennings is a leading specialist recruitment agency for banking and financial services. For more than 15 years, we have given clients and candidates peace of mind that the recruitment process is in expert hands. Our continual investment in best-in-class technologies and consultant training enables us to recruit with speed, precision and accuracy. Today, Selby Jennings provides contingency and retained search recruitment across 11 offices in 6 countries. Contact us to find out how Selby Jennings can help you.

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Hiring Algorithm/Quant Researchers on the Buyside Image
quantitative-research-and-trading

Hiring Algorithm/Quant Researchers on the Buyside

โ€‹โ€‹Buyside trading desks are showing considerable interest in hiring skilled algorithm and quant researchers. What is driving this trend, and what skill set do these in-demand professionals require?Why are buyside firms looking to recruit?Hedge funds and other buyside firms are facing pressure to cut their fees. For example, London-based Brevan Howard, which runs a $14.5bn flagship fund, recently announced that it would waive its management fee from this December. A 20% performance fee will still apply.This fee-cutting drive means one thing: funds need to be more efficient to deliver returns. This is where algorithm and quantitative researchers come into the picture: they create systems to help investment managers make smart decisions that deliver healthy returns, with accompanying healthy percentage fees.In the hedge fund world, only around one third (35%) of funds tracked by Preqin continue to use a traditional โ€˜2 and 20โ€™ fee structure โ€“ 2% management fee, 20% performance fee. Both of these fees have been dropping, with some companies opting to waive some fee types altogether.Why volatility is translating into lower feesThe market is facing a good deal of volatility at the moment, with global events such as the US Presidential election and the Brexit vote in the UK causing uncertainty and concern. The market can fluctuate unexpectedly from day to day or month to month, causing nervousness among investors.In this environment, the buyside companies that can offer the best products are those that can best assess risk within the market. Developing strategies to analyze and manage risk means funds can still provide attractive returns and competitive rates.The power of dataAccording to a recent report by Tabb Group, hedge funds are now investing in extending the scope of their analytics capabilities from conventional transaction cost analysis to routing logic for ATSโ€™s and monthly data and summary statistics.Many trading desks are ill-equipped to manage this additional functionality, with a small number of well paid, highly experienced quantitative analysts rather than a team of quants with varied levels of skill and experience. Firms are scrambling to hire more quants to help boost their abilities in this area.Tasks being taken on by algorithm and quant researchersThe new professionals being hired by buyside firms are tackling a number of different areas for their employers. Firstly, internal processes are a major focus. While external performance is often scrutinized closely, internal processes can also be inherently wasteful, but tend to receive much less attention. Process improvement involves looking at issues such as post-trade processing, workflow efficiency and trading costs.Automation is also a major trend. Firms are automating more elements of their trading practices, meaning that less involvement from managers is required so cost reductions can be achieved. Technology projects to consolidate order management systems are also a major feature of the sector.Which skills are in demand?Buyside firms are keen to recruit enthusiastic candidates with a relevant qualification, such as an advanced degree in physics or mathematics. Candidates should have experience in general asset management, particularly on the buyside within an internal execution or proprietary trading team. For example, experience of working on a trading desk which generates large revenues, or is responsible for trading efforts of the firm, is much in demand.Skills in C++, Python, and market microstructure algorithms are also essential for candidates looking to work in this field. Specifically working with strategies around VWAP, TCA, Pre-trade, Post-trade, etc are seen as valuable skills as these strategies require not only the quantitative + programming skills, but also the qualitative market microstructure knowledge of why securities move the way they do. There is scope to move into the buyside from the sellside if candidates wish to do so and have the right attitude and experience.To learn more about this trend and how it might affect you over the coming months, please reach out to Selby Jennings for an informal discussion.---------About UsSelby Jennings is a leading specialist recruitment agency for banking and financial services. For more than 15 years, we have given clients and candidates peace of mind that the recruitment process is in expert hands. Our continual investment in best-in-class technologies and consultant training enables us to recruit with speed, precision and accuracy. Today, Selby Jennings provides contingency and retained search recruitment across 11 offices in 6 countries. Contact us to find out how Selby Jennings can help you.

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Compensation Trends in Quantitative Risk Image
quantitative-research-and-trading

Compensation Trends in Quantitative Risk

โ€‹โ€‹Overpaying for Junior PhDsAs recruiters within the Risk Analytics space, we come across PhD candidates wanting to take the next step in their career on a daily basis. On the other side of the spectrum, our clients are increasingly demanding for junior to mid-level candidates to have PhDs (2-5 years of experience) across all areas of quantitative risk.Because this space is becoming competitive, retaining strong candidates is increasingly difficult given the plethora of risk opportunities available, some firms are dishing out eye-popping base salaries, whether to a junior PhD moving into a new role or paying them a large amount right off the bat. The idea behind this tactic is that by giving them such a large base salary, it will likely price the candidate out of other opportunities for the next 2 โ€“ 3 years if they decide to look externally โ€“ and many of them will get to the offer stage if they do. For many firms that employ this technique, itโ€™s working.Why PhD candidates are so highly sought afterย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย Thereโ€™s no doubt that pursuing and receiving a PhD requires a strong passion for your field of choice. It also says that you are willing to put in an extensive amount of hard work. Many dissertations require students to dive much deeper into mathematical/statistical theories than someone who only has a Masterโ€™s, and work with those theories for a longer period of time as a PhD can take up to 5 years to complete.While on a meeting with a renowned name in the Risk Modeling industry, we recently inquired as to why PhDs are special. His response was that PhDs have a much easier time looking at models and formulating their own opinions on the models in a well-thought out manner, which is something very important within model validation โ€“ the space that has seen the largest growth in recent years.He explained that โ€œMastersโ€ validators had a higher tendency to regurgitate what the developers say โ€“ which leads to the second line of defense in the modeling process being trivialized. Models that have their assumptions and design severely challenged that still end up getting approved are likely to be very useful models. Models that are not thoroughly critiqued have a much higher rate of model failure and end up having to be redeveloped or put in the archives of the model inventory never to be used again.Geographical Trends ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย There is no doubt that the financial hub of the US, arguably the world as well, is New York City.ย  We talk to countless candidates everyday that say their main reason for looking is that they want to get to New York, especially the more junior candidates. They likely took an opportunity that would allow for them to gain the 1 โ€“ 2 years of experience necessary to be considered a valuable Risk candidate and then want to take those skills to New York โ€“ this is common across both Masters and PhD candidates.For this reason, overpaying for fresh PhDs is most common amongst regional banks in the South that lose junior PhD candidates all the time for opportunities in New York. Satellite offices of major banks in the South are much less guilty of this. If PhD Candidate X has one year of experience and is getting paid a $125k base in a Southern state where the cost of living difference can be up to 40% cheaper than NYC, and they go to apply to an NYC position they will likely expect a cost of living increase to be accounted for in their new compensation figures and therefore will price themselves out of the opportunity. This candidate might expect a $145k to $150k base salary in New York โ€“ something that will enable them to maintain a similar standard of living however is a range justifiable for candidates with more years of experience.Note: This is not only common to the South, as we have seen this tactic also employed on the West Coast and Mid-Atlantic region in cities such as Charlotte and Washington DC.For a VP Model Validation role in New York (5 โ€“ 7 years of experience expected minimum), a competitive compensation range starts at $150k (and generally will go up to $180k). It is extremely hard for compensation teams and HRs to justify giving Candidate X with one year of experience a VP title as well as a $150k base when the requirements for the role are much higher and there are other candidates out that with many more years of relevant experience. ย At the same time, an Associate level role in NYC seeking candidates with 1 โ€“ 3 years of experience, will probably max out at $120k (and thatโ€™s if they are generous) โ€“ which would mean a lateral or potential cut for a PhD Candidate. AVP level roles will go up to about $135k โ€“ which does not provide much room for a salary increase to give someone such as Candidate X an incentive to move. We have sent candidates based in the South with similar profiles to clients in the Northeast and gotten feedback along the lines of, โ€œWe love this personโ€™s profile but we canโ€™t put them through an interview process as they are being paid too much for their years of experience.โ€Our advice to clients who are eager to hire junior PhDs with relevant experience, either be willing to pay, be willing to consider Masterโ€™s candidates from strong programs, or be willing to spend time on a search in order to find a candidate in the right situation.What is your PhD in? How is this viewed by the market?PhDs in Theoretical Physics tend to be considered the most brilliant and end up being the most successful.PhDs in Statistics generally tend to interview well as many technical questions in interview for risk modeling jobs are focused around statistical techniques and methods. We have seen these candidates slip up on simple statistical questions in interviews โ€“ nothing is a givenPhDs in Econometrics follow closely after that but it depends on how statistic-focused their coursework and thesis was.PhDs in Mathematics or Applied Mathematics come afterPhDs in Economics generally do not add a great deal of value since many times they are focused on theory and financial markets from a more qualitative standpoint โ€“ however there can easily be exceptionsDesired Skills in the Current MarketWholesale Credit Risk Model Development and Validationย โ€“ This has been a major area of growth for small banks, medium sized banks, and the largest investment banks in the world. Credit Risk Model Developers and Model Validators that have wholesale PD/LGD experience focused on C&I portfolios and CRE portfolios are likely to find open positions hitting all levels from Associate to Director. ย C&I portfolios can be particularly complex so candidates with strong risk modeling skills that can also understand the business aspect of these portfolios will have a significant edge over their competition.Front Office Operational Riskย โ€“ There has been a trend within Operational Risk to expand its scope from being a back office function to a firm-wide staple. A specific area of expansion has been into the front office. Candidates that can develop, implement, and execute a full RCSA framework across Sales & Trading desks are highly coveted. Ops Risk candidates that have experience covering Investment Banking functions such as M&A, debt & equity capital markets are also in desire, but not nearly as much as S&T considering that split second decisions or errors can have an immediate negative impact resulting in immense losses for banks.VaR, IRC, CCARย โ€“ Investment banks hiring within market risk have had a common type of profile they are looking for, mainly across the AVP/VP level. This being VaR Modelers that have both IRC (Incremental Risk Charge) and CCAR experience. This type of modeling is prevalent across all investment banks, both US and European.Model Risk Auditย โ€“ This is a third line of defense in the modeling process, and is relatively new. These roles fall within the audit space because they follow an audit process, however the work required for these types of roles are generally fairly quantitative, as they require independent testing of model development and model validation processes. Candidates with model development or validation experience can generally do this type of a role. Hiring within this space has spanned from the Associate to Director level as many banks are looking to build out these teams to bolster their model risk processes. Some firms have teams that specialize in auditing certain kinds of models (market vs. credit) and some firms have model audit teams that are more generalist and oversee all kinds of risk models. If a candidate who has credit risk modeling experience would like to gain market risk experience, I would recommend that they look into some of these kinds of roles as they can likely be qualified for the role while still having the opportunity to gain exposure in models they have not worked with before.---------About UsSelby Jennings is a leading specialist recruitment agency for banking and financial services. For more than 15 years, we have given clients and candidates peace of mind that the recruitment process is in expert hands. Our continual investment in best-in-class technologies and consultant training enables us to recruit with speed, precision and accuracy. Today, Selby Jennings provides contingency and retained search recruitment across 11 offices in 6 countries. Contact us to find out how Selby Jennings can help you.โ€‹

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