Quant Research Lead

BHFT•New York, NY

6d•Remote

About The Position

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.

Requirements

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.

Responsibilities

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.
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.
Maintain research standards: reproducibility, documentation, experiment tracking.
Guide best practices for backtesting, simulation, and performance diagnostics.
Manage and mentor quantitative researchers.
Hire and train new and junior quants in research methods and market microstructure.