Quick Overview
Seniority
Mid Senior
Employment type
Full Time
Work mode
Hybrid
Location
New York, NY, United States
Posted
4 weeks ago
ComplianceDerivativesPythonRisk Management
Job Description
We are expanding a systematic macro pod in New York and are seeking a Systematic Macro Researcher to help build and scale option-based strategies across commodity futures and global equity index futures .
This role is for a researcher with experience at a top buy-side platform who is comfortable owning the full lifecycle of systematic strategies — from research and signal design through production deployment, execution, and live risk management.
Responsibilities
- Research, develop, and deploy systematic options strategies on commodity futures and equity index futures.
- Design macro- and cross-asset-driven signals grounded in economic intuition and validated using robust statistical techniques.
- Own the end-to-end research-to-production workflow , ensuring strategies are scalable, stable, and production-ready.
- Build and extend a modular, graph-based strategy framework to support clean strategy composition and rapid deployment.
- Contribute to the design and maintenance of execution and order routing infrastructure across multiple internal and external venues.
- Develop and maintain monitoring and analytics dashboards covering portfolio performance, risk, execution quality, and transaction costs.
- Implement and enforce pre-trade risk and compliance checks , ensuring adherence to internal risk limits, exchange rules, and CFTC position constraints .
- Work closely with portfolio managers, traders, and technologists in a pod-style environment with high autonomy and accountability.
Requirements
- Proven experience researching and trading systematic macro strategies at a top-tier buy-side fund (e.g. multi-manager, systematic macro, or leading CTA).
- Strong background in options on futures and/or equity index derivatives.
- Ability to translate macroeconomic hypotheses into systematic, statistically robust signals .
- Excellent understanding of time-series analysis, statistics, and empirical research methods .
- Hands-on experience with production trading systems , including execution and live monitoring.
- Strong programming skills in Python ; experience with lower-level or performance-critical languages is a plus.
- Familiarity with US futures markets , exchange mechanics, and regulatory requirements (CFTC limits).
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