Quant Research Lead at BHFT

New York, New York, United States -

Full Time

Start Date

Immediate

Expiry Date

17 Mar, 26

Salary

0.0

Posted On

17 Dec, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Quantitative Research, Machine Learning, Statistics, Applied Math, Python, Algorithmic Trading, Market Microstructure, Alpha Construction, Backtesting, Experiment Design, Data Engineering, Team Leadership, Mentoring, Research Standards, Performance Diagnostics

Industry

Financial Services

Description

Company Description BHFT is a proprietary algorithmic trading firm. Our team manages the full trading cycle, from software development to creating and coding strategies and algorithms. Our trading operations cover key exchanges. The firm trades across a broad range of asset classes, including equities, equity derivatives, options, commodity futures, rates futures, etc. We employ a diverse and growing array of algorithmic trading strategies, utilizing both HFT and MFT approaches. We’ve got a team of 200+ professionals, with a strong emphasis on technology. Our employees are located all around the world, from the United States to Hong Kong. Although we maintain office spaces, we currently operate as a 100% remote organization. Job Description 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.

Responsibilities

The Quant Research Lead will lead the quantitative research function responsible for systematic alpha discovery and strategy development. This includes overseeing the delivery of strategies to production and ensuring high-quality research is integrated into the live trading pipeline.