Overview
In this role you design, build and enhance backtesting infrastructure for automated market-making models in the rates desk. You will work with cross-functional teams to turn data-driven insights into production-ready tools, shaping trading analytics and risk-aware strategies. You’ll drive improvements to the tech stack, adopting new innovations and ensuring governance. This position offers impact by advancing scalable infrastructure and sophisticated quantitative solutions within a leading financial services firm.
Responsibilities
- Implement automated market-making backtesting infrastructure including orchestration across languages (Rust, Python, KDB, Java)
- Develop data-driven trading tools and support automated market-making models
- Optimize and migrate the tech stack for pricing, hedging and trading analysis (live and backtesting)
- Keep pace with tech innovations and coordinate migrations from legacy systems
- Collaborate with Traders, tech, and data specialists to deliver robust solutions
- Engage with control functions (Legal, Compliance, ETRM, Model Risk, Market Data) to ensure governance
- Promote best practices and responsible finance, governance, and ethics across the team
- Assess risk/reward of transactions and ensure ethical, compliant decision-making
Key requirements
- Extensive experience in algorithmic trading infrastructure development
- Strong programming experience (Rust preferred; C++/Java also acceptable)
- KDB, Python, SQL
- Experience with messaging/data serialization, market data processing, latency optimization, testing, and deployment tools
- Experience handling large, disparate data sources and data normalization
- Ownership of legacy technologies and migration projects
- Working knowledge of rates instruments and math tools used in algo trading
- Excellent written and verbal communication skills
- Education: Master’s degree preferred
- strong communication and negotiation skills
- cross-functional collaboration
- risk awareness and governance
- Rust
- C++
- Java
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