Selby Jennings is working with a FinTech stealth mode start-up that is looking to be a combination of Stripe and Visa for capital markets. They work in the prime brokerage space building the systems that will connect all networks / exchanges / brokers into one unified platform that will dominate the market.
The company raised $50 million in Series A few years back and is on track to raising their Series B projected to be $120 million. Their current valuation is over $750 million. They are one of the ONLY prime brokerage firms in the world to have received clearance from the SEC to operate with both traditional and digital assets.
The firm is on a mission to become the leading global credit network for institutions. They are disrupting trade and capital management with state of the art technology. Looking for world-class software engineers to architect and build systems that will underpin the capital markets of tomorrow.
They are hiring across their engineering teams:
1. Software Engineer - Prime Brokerage
You'll play a crucial role in building the firm's real-time event processing system (ie clearing sub-ledger)
Responsibilities:
- Identify performance bottlenecks and optimize system components for maximum throughput, low latency, and high reliability
Design, develop, and maintain the core infrastructure and systems for our prime brokerage platform, including trade execution, position management, risk monitoring, and reporting modules.
Build robust systems for managing the entire trade lifecycle, from order routing and execution to settlement and reconciliation.
Requirements:
At least 8 years of experience in software development/engineering within a financial services firm, ideally in prime brokerage or digital assets space.
Familiarity with industry-standard technologies and protocols, including FIX protocol, market data feeds, and order management systems.
Experience in building and managing distributed systems and high-throughput services
Background in real-time transaction processing within trading, risk management, or web2.0 companies
2. Quantitative Developer - Core Data
As a Quantitative Developer in the Core Data team you will help out with the non-risk work in quant/ds, i.e. entity-master, pricing-service and position-service.
Responsibilities:
Improve the core functionality of the systems to ensure they are performant and accurate
Integrate new reference data source and setup ETLs for ingesting and process data
Requirements:
At least 5+ years of experience in quantitative software development at top-tier financial firm
Worked with data pipeline, streaming technology and/or built large scale systems
This will allow the current team to have more time to spend on improvements to the platforms, rather than maintenance/onboardings
3. Quantitative Developer - Risk
You'll work with the Quantitative Development team to help develop new risk models and functionality for the risk & scenario engines.
- Need a QD that's closer to a QR to help out with development of new risk models and functionality for the risk & scenario engines.
- Productionalize and improve research tools and models. For example, Backtesting, Option pricing / Vol-fitting, APIs for internal and external customer with customized analytics
Requirements:
At least 5+ years of experience in quantitative software development at top-tier financial firm
In particular, role should ideally have involved some part of a model building pipeline (e.g. risk, alpha, etc)
4. Software Engineer - Reporting
This is a high-impact role - our reporting systems handle outputs for all of our products globally, and is necessary to launch and grow all of our business products.
Responsibilities:
- You'll design, develop and own a generalized system for generating business-critical reports from our backend data platform.
- You'll need to develop a deep understanding of the business context in which the team operates and to use this to drive momentum and communication between engineers and stakeholders in different functions across the company.
Requirements:
- Direct experience architecting and building critical financial/regulatory/customer reporting or data transformation systems
- Direct experience building alerting, observability and monitoring into production systems, and with the tools for doing so (e.g. Datadog, Grafana, Prometheus)
- Direct experience designing tight SLO (>0.99) workflows on scheduling systems at scale (e.g. AirFlow)
They have small and agile teams, so working closely with product and other stakeholder teams is essential, as is understanding and being able to contribute to other parts of the codebase. Currently have a distributed team of about 40 engineers.
You must be an expert-level programmer in Python and posses excellent communication skills to make rapid progress autonomously with a distributed team.
This role can sit in New York, San Francisco, or Remote! Total compensation can range from $500,000 - 1.2 million (base, bonus + equity)
