Hiring: Quantitative Researcher, Central Execution Desk Company: Tower Research Capital Location: New York, United States Job Posted Time: 2026-09-16 16:39:36 Employment Type: Hybrid Target Skills & Keywords : A/B Testing, C++, FPGA, Machine Learning, Python, Risk Management, Rust About the job Experience: •25+ year track record of innovation and a reputation for discovering unique market opportunities. •5 years of quantitative research experience, ideally in execution research, market microstructure, or financial data modeling Required Skills: •Researching market impact, execution cost, slippage, fill quality, etc. across global markets •Building models to explain and predict execution outcomes •Designing and analyzing A/B experiments to identify real execution improvements •Working on causal inference methods •Developing optimization models for various execution objectives •Supporting research into centralized inventory, liquidity, risk-transfer, and crossing-style analytics to improve portfolio-level execution outcomes •Contributing to research on execution algorithms •Building research tools, simulations, dashboards, and reports that help traders and PMs make better execution decisions Qualifications: •A Masters or Bachelors from a top-tier university in mathematics, statistics, computer science, financial engineering, physics, operations research, or a related quantitative field. PhD preferred •At least 2–5 years of quantitative research experience, ideally in execution research, market microstructure, or financial data modeling •Strong knowledge of statistics, time-series analysis, experiment design, optimization, machine learning, and financial markets •Strong Python skills for research, data analysis, modeling, and simulation. C++/Rust experience is a plus but not required •Operational familiarity with convex optimization, causal inference, market impact models, stochastic control is a plus •Good understanding of market microstructure •Demonstrated capacity to write clear research notes and explain quantitative results to traders, PMs, and engineers. Prior academic publications or comparable research writing are a plus •Anticipated annual base salary range $120,000 - $200,000, plus eligible for discretionary bonus. Compensation: •Generous paid time off policies Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!