- Chicago, Illinois, United States
- On-site
- Full-time · Senior
- 3+ years
Lead research that directly influences options market-making performance, turning market observations, trader intuition and data into systematic, measurable and scalable improvements across pricing, prediction, execution and risk-taking.
Compensation
Competitive compensation package. Annual discretionary bonus.
Responsibilities
- Lead research across option pricing, volatility modelling, alpha generation and algorithm design for low-latency, exchange-traded options strategies
- Translate complex trading questions and practitioner intuition into testable hypotheses, quantitative models and optimisation problems
- Apply mathematics, statistics, machine learning and optimisation where appropriate, using large datasets to develop and rigorously validate solutions
- Partner with traders and developers to implement research in production, monitor its performance and assess whether it delivers the expected trading impact
- Identify opportunities to turn manual trading judgements and heuristics into reproducible, measurable and scalable approaches
Requirements
- PhD or another demonstrable track record of conducting independent research
- Strong academic background in Mathematics, Statistics, Physics, Computer Science, Engineering, Operations Research or a related quantitative discipline
- Nice to have: AI tools for analysis, programming, or research