Quantitative Trader

About the Role

Equity Quantitative Research (EQR) aims to leverage market inefficiencies through structural analysis, quantitative research, and technology. The team trades billions of dollars daily using statistics, computer science, and economic principles, managing systematic and semi-systematic equities strategies. Every investment idea and trade requires an understanding of market flows, sophisticated mathematics, and large-scale data analysis.

As a Quantitative Trader, your primary responsibility is to optimize trading strategies for maximum profitability. You will determine capital allocation and risk deployment across signals and strategies, fine-tuning the portfolio to maximize returns per unit of risk. You will collaborate with quantitative researchers and engineers to translate research into production strategies trading real capital. This involves improving optimizers, models, minimizing trading costs and market impact, and managing capacity and financing. You will own portfolio-level risk, reasoning about exposures, intervening tactically based on changing conditions, and conducting research and statistical analysis to enhance risk-adjusted returns. This is a high-ownership role requiring decision-making under time constraints, with mentorship from experienced leaders.

Key Responsibilities

• Partner with quantitative researchers and engineers to transform research into production trading strategies.
• Conduct research to identify profit-loss opportunities and generate additional returns from existing strategies.
• Manage portfolio-level risk and exposures in real-time, adjusting allocation as market conditions evolve to protect and grow PnL.
• Continuously monitor strategy performance, diagnose issues, and iterate to ensure strategies perform across various market regimes.

Requirements & Tech Stack

• A strong interest in game theory, decision theory, and strategy games, with the aptitude to apply these concepts to markets.
• Effective problem-solving skills and the rigor to reason about optimization, risk, and profitability from first principles.
• The judgment to identify the next source of PnL.
• Excellent written and verbal communication skills.
• A self-starter who is not afraid to challenge the status quo.

Qualifications

• A degree from a top university in a quantitative field such as statistics, mathematics, computer science, or physics.
• Strong candidates often possess graduate research or competition experience.

Opportunities available in New York.

Base salary range: $235,000 - $300,000.

Eligibility for discretionary incentive compensation, medical and life insurance, retirement and tax-free savings plans, and other healthcare programs.