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Tower Research Capital

Trades financial markets with computer models

Quantitative Researcher - Central Execution Desk

Quantitative ResearchConfirmed live in the last 24 hours
Full-timeNew York, NY, USAHybrid

About the Job

Requirements

  • A master's or bachelor's degree from a top-tier university in mathematics, statistics, computer science, financial engineering, physics, operations research, or a related quantitative field is required.
  • 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.
  • Experience working with large financial datasets.
  • Strong Python skills for research, data analysis, modeling, and simulation.
  • Good understanding of market microstructure.
  • Ability to write clear research notes and explain quantitative results to traders, portfolio managers, and engineers.

Responsibilities

  • Research market impact, execution cost, slippage, and fill quality across global markets.
  • Build models to explain and predict execution outcomes.
  • Design and analyze A/B experiments to identify real execution improvements.
  • Work on causal inference methods.
  • Develop optimization models for various execution objectives.
  • Support research into centralized inventory, liquidity, risk-transfer, and crossing-style analytics to improve portfolio-level execution outcomes.
  • Contribute to research on execution algorithms.
  • Build research tools, simulations, dashboards, and reports that help traders and portfolio managers make better execution decisions.
  • Partner with traders, portfolio managers, quantitative developers, and engineers to turn research prototypes into robust production analytics.

Desired Qualifications

  • A PhD is preferred.
  • C++ or Rust experience is a plus but not required.
  • Familiarity with convex optimization, causal inference, market impact models, and stochastic control is a plus.
  • Prior academic publications or comparable research writing are a plus.

About the Company

Tower Research Capital

Trades financial markets with computer models

Tower Research Capital trades financial instruments with computer models and supplies liquidity, or ready buying and selling prices, to other market participants. Its researchers test strategies against historical data before deploying them through a platform built largely in-house. The platform combines market data, order routing and risk controls, letting traders act on signals across stocks, futures, options and currencies. It earns trading profits by taking positions for its own account, and its liquidity businesses trade directly with counterparties rather than managing their investments. Tower was founded in 1998 and is headquartered in New York City.

Company size
1,001-5,000
Company stage
Not listed
Total funding
$116.1M
Headquarters
New York City, New York
Founded
1998

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