Bowden Brown · 1 day ago
Quantitative Researcher
NYC Metro Area
Full-time
Onsite
Mid, Senior Level
3+ years expBowden Brown is seeking a Quantitative Researcher to join their high-performing High-Frequency Trading team. The role involves researching, designing, and implementing alpha signals and predictive models for automated trading strategies, while collaborating closely with other researchers and engineers.
Staffing & Recruiting
Hiring Manager
Conor Brown
Responsibilities
Research, design, and implement alpha signals, features, and predictive models for automated trading strategies
Apply machine learning and statistical techniques to improve forecasting accuracy and execution quality
Collaborate closely with other researchers and engineers to review ideas, solve complex problems, and iterate quickly
Improve and optimize research tooling and workflows to scale experimentation and insight generation
Contribute to strategic discussions that help shape the future direction of trading and research efforts
Qualification
Required
3+ years' experience in quantitative research within a successful futures or equities trading environment
A proven ability to develop profitable, data-driven trading strategies
Strong foundations in mathematics, statistics, and analytical problem-solving
Experience working on computationally intensive research problems
Degree (BS, MS, or PhD) in a quantitative or technical discipline
Proficiency in Python or C++ (ideally both)
A collaborative mindset
A self-starter who takes ownership, sets ambitious goals, and actively seeks out opportunities to make an impact
Benefits
Highly competitive compensation
Retirement contribution matching
Comprehensive health, dental, vision, mental health, disability, and life coverage
Generous paid time off, including vacation days and market holidays
A modern office environment with extensive perks
Company
Bowden Brown
Bowden Brown specialises in helping quantitatively driven businesses attract top personnel, working as a strategic partner throughout the hiring process and helping firms in a hugely competitive talent market.
2-10 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase