Quantitative Researcher

Tower Research Capital • Chicago, IL

1d • $150,000 - $250,000 • Hybrid

About The Position

Tower Research Capital is hiring a Quantitative Researcher to research, develop, and deploy trading strategies and supporting tools. The role focuses on researching trading opportunities from market data, analyzing latency requirements, alpha horizons, and P&L impact, studying market microstructure, and developing high- to mid-frequency alphas. It also involves improving exchange simulators, profiling ultra-low-latency strategies, deploying new strategies, and building post-trade monitoring tools. The position requires working onsite at the corporate office at least three days per week.

Requirements

• Bachelor’s degree or foreign equivalent in Mathematics, Statistics, Computer Science, or a related field.
• Five years of experience in a Quantitative Researcher or Quantitative Developer position, the job offered, or a related occupation.
• Three years of experience with machine learning modeling.
• Experience with low-latency trading.
• Knowledge of mathematics and statistics, specifically machine learning techniques that deal with large data sets.
• Knowledge of financial instruments and their derivatives.
• Knowledge of CME microstructures and market data protocol.
• Python skills for scientific computing.
• C++ skills for designing patterns and template meta-programming.

Responsibilities

• Create analysis tools to research trading opportunities from market data and identify latency requirements, alpha horizons, and P&L impact.
• Develop, augment, and calibrate exchange simulators to faithfully replay market events.
• Research market microstructure.
• Create high- to mid-frequency alphas from market data.
• Profile the performance of existing ultra-low-latency trading strategies.
• Research, design, implement, and deploy new ultra-low-latency trading strategies.
• Create post-trade tools to monitor trading performance and competitiveness.
• Work onsite at the corporate office three or more days per week.

Benefits

• Generous paid time off policies.
• Savings plans and other financial wellness tools available in each region.
• Hybrid working opportunities.
• Free breakfast, lunch, and snacks daily.
• In-office wellness experiences and reimbursement for select wellness expenses, such as gym membership and personal training.
• Company-sponsored sports teams and fitness events.
• Volunteer opportunities and charitable giving.
• Social events, happy hours, treats, and celebrations throughout the year.
• Workshops and continuous learning opportunities.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level