Senior Quantitative Researcher
Overview
Senior Quantitative Researcher owns the full research lifecycle for buy-side trading strategies, from data exploration to production deployment. This role sits at the intersection of technology and business, working with a dedicated team of engineers and traders. The researcher will directly influence portfolio decisions using advanced statistical and machine learning models. Onsite in Chicago, this position offers direct exposure to live trading and a collaborative culture.
What You'll Do7
- 1Collaborate with technology and business teams to model financial markets and strategies.
- 2Analyze Python-based data pipelines to extract signals from tick and historical data.
- 3Design machine learning experiments to test predictive hypotheses on AWS.
- 4Build custom SQL queries to validate market microstructure hypotheses.
- 5Ship production-ready research code with C++ for low-latency execution.
- 6Lead code reviews and mentor junior researchers on best practices.
- 7Debug and refine models iteratively with real-time Kafka feeds.
Requirements7
- 1PhD in quantitative field (finance, math, physics, or CS).
- 25+ years in quantitative research within buy-side or sell-side firms.
- 3Python and C++ proficiency for research and production systems.
- 4Advanced knowledge of statistical modeling and time-series analysis.
- 5Experience with AWS and distributed computing for large datasets.
- 6Strong communication to present findings to non-technical stakeholders.
- 7Proven track record of generating alpha in equity or fixed income markets.
Salary Insight
$150 - $250k per year
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