Position: Execution Quantitative Researcher - VP/Associate
Location: New York
Firm: Bulge Bracket Investment Bank
Location: New York
Firm: Bulge Bracket Investment Bank
Overview:
A top-tier investment bank is seeking an Execution Quantitative Researcher with experience in electronic trading across equities, futures, or FX markets. The ideal candidate will be proficient in data analysis, algorithmic trading, and transaction cost analysis (TCA). This role is focused on enhancing execution strategies and working closely with traders and technologists to optimize trading performance. The position is at the VP level or below and requires strong quantitative skills and a deep understanding of market microstructure.
A top-tier investment bank is seeking an Execution Quantitative Researcher with experience in electronic trading across equities, futures, or FX markets. The ideal candidate will be proficient in data analysis, algorithmic trading, and transaction cost analysis (TCA). This role is focused on enhancing execution strategies and working closely with traders and technologists to optimize trading performance. The position is at the VP level or below and requires strong quantitative skills and a deep understanding of market microstructure.
Key Responsibilities:
- Research, develop, and enhance execution algorithms and strategies for equities, futures, or FX.
- Analyze large datasets to improve execution performance and reduce transaction costs.
- Collaborate with traders and technology teams to implement trading models and strategies.
- Conduct transaction cost analysis (TCA) to identify inefficiencies and opportunities for optimization.
- Stay informed about market microstructure, liquidity patterns, and regulatory changes affecting execution.
- Use Python and other programming languages to model trading behavior and execution patterns.
- Provide actionable insights into order routing, execution quality, and algorithm performance.
Qualifications:
- 1-6 years of experience in electronic or execution trading within equities, futures, or FX markets.
- Strong proficiency in Python for data analysis and quantitative modeling. KDB experience preferred.
- Solid understanding of algorithmic trading, market microstructure, order routing, and transaction cost analysis (TCA).
- Experience working in a fast-paced, quantitative research environment.
- Ability to collaborate effectively with traders and technologists.
- Advanced degree in a quantitative field (e.g., Finance, Mathematics, Engineering, Computer Science, or related discipline).
Preferred Skills:
- Familiarity with execution strategies and tools across multiple asset classes.
- Experience with execution management systems (EMS) and order management systems (OMS).
- Knowledge of market liquidity, volatility, and trading venues.
- Ability to convey complex quantitative concepts to non-technical stakeholders.
Benefits:
- Competitive salary with performance-based bonuses.
- Opportunity to work at the forefront of electronic trading in a leading global investment bank.
- Collaborative work environment with opportunities for professional development and growth.
