About this opportunity
Quantitative Strategist - Options Market Maker
About the Firm
Our client is an established, technology-driven proprietary trading firm that specializes in listed derivatives market making. The firm builds its own low-latency infrastructure, pricing models, and trading strategies in-house, and its culture rewards collaboration, automation, and evidence-based decision-making. It has a global presence, with several international offices; one of its largest offices is in Chicago, where this role is based.
The Role
The firm is expanding its quantitative research and trading capabilities, and is hiring a quantitative strategist to work directly alongside traders and researchers. You’ll turn research ideas into production-grade trading logic and see the results reflected directly in trading performance. They're looking for someone who is a strong programmer, a creative problem-solver, and genuinely curious about how markets work.
Responsibilities
- Write and maintain production code for trading strategies, including pricing, order execution logic, and performance tuning, working alongside traders, researchers, and infrastructure engineers
- Evaluate market signals and integrate relevant ones into live trading systems
- Improve the existing codebase by recommending better designs, efficiency gains, and enhancements tied to trading objectives
- Build quick prototypes of new strategy ideas grounded in quantitative analysis and market research
- Track developments in market structure and the wider industry, and apply what you learn to strategy refinement
- Solve mathematical and engineering problems under time pressure as market conditions shift
- Keep building your knowledge of markets and trading mechanics to strengthen the team’s work
Requirements
- Undergraduate or advanced degree in a quantitative or technical discipline (STEM or similar)
- At least three years in a quantitative research or software role, ideally in finance or trading
- Strong Python skills; C++ experience is a bonus
- Solid grounding in several of: linear algebra, numerical methods, statistics, optimization, signal processing, computer architecture, machine learning, and high-performance or parallel computing
- Sharp analytical thinking and the ability to produce accurate answers quickly when conditions change
- Real interest in financial markets and a willingness to learn how trading works
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