Quantitative Execution Researcher

Tradermath; New York (NY); Hybrid; USD 120,000 - 200,000; Full time

Benefits offered by this job

Hybrid working opportunities

Generous paid time off

Wellness reimbursements

Office snacks

Team events

Job summary

Tower Research Capital seeks a Quantitative Researcher to build models and analytics that improve execution quality across global trading teams. You will tackle market impact, slippage, sequencing, and optimization with rigor and practical desk support.

The role blends theoretical research with production-ready analytics, collaborating with traders, PMs, and engineers to deploy robust decision systems. Strong Python and optional C++/Rust are valued.

Qualifications

• 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.
• 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.
• Experience working with large financial datasets.
• Strong Python skills for research, data analysis, modeling, and simulation. C++/Rust experience is a plus but not required.
• Familiarity with convex optimization, causal inference, market impact models, stochastic control is a plus
• Good understanding of market microstructure
• Ability to write clear research notes and explain quantitative results to traders, PMs, and engineers.

Responsibilities

• Research market impact, execution cost, slippage, fill quality across global markets.
• Build models to explain and predict execution outcomes.
• Design and analyze A/B experiments for real execution improvements.
• Work on causal inference methods.
• Develop optimization models for execution objectives.
• Support research into inventory, liquidity, risk-transfer, and crossing analytics to improve portfolio-level outcomes.
• Contribute to research on execution algorithms.
• Build research tools, simulations, dashboards, and reports for traders and PMs.
• Collaborate with traders, PMs, quant developers, and engineers to deploy production analytics.

Skills

Python

Statistics

Time-series analysis

Experiment design

Machine learning

Education

Masters or PhD in quantitative field

PhD preferred

Tools

C++

Rust

Job description

Tower Research Capital seeks a Quantitative Researcher to build models and analytics that improve execution quality across global trading teams. You will tackle market impact, slippage, sequencing, and optimization with rigor and practical desk support.

The role blends theoretical research with production-ready analytics, collaborating with traders, PMs, and engineers to deploy robust decision systems. Strong Python and optional C++/Rust are valued.