Quant Research Lead

Role mission: lead the quantitative research function responsible for systematic alpha discovery, model integration, and strategy development (for example: cross-border and statistical arbitrage), ensuring smooth delivery of high-quality research into the live trading pipeline.

Responsibilities

Research & Strategy

• Drive alpha ideation, experiment design, backtesting, and strategy construction.

• Evaluate signals, model outputs, and features for robustness and generalization.

• Oversee delivery of strategies to production, and build live and post-trade testing tools to refine strategies.

Cross-Functional Collaboration

• Integrate new engineered features into research workflows.

• Partner with Modeling to leverage and test ML models within strategies.

• Work with Data Engineering to maintain high-quality, research-ready data.

• Coordinate with trading teams to transition strategies to production.

Process & Infrastructure

• Maintain research standards: reproducibility, documentation, experiment tracking.

• Guide best practices for backtesting, simulation, and performance diagnostics.

Team Leadership

• Manage and mentor quantitative researchers.

• Hire and train new and junior quants in research methods and market microstructure.

Qualifications

• 7+ years in quantitative research or ML-driven trading.

• Strong background in statistics, ML, applied math, or related fields.

• Expertise in Python and systematic research tooling.

• Deep knowledge of market microstructure and feature/alpha construction.

• Demonstrated ability to lead research teams and ship production strategies.

Additional Information

All your information will be kept confidential according to EEO guidelines.