Senior Quantitative Researcher

Tower Research CapitalNew York, NY
$120,000 - $200,000Hybrid

About The Position

As a Quantitative Researcher in one of Tower’s trading teams, you will use Tower’s in-house research and trading platform—one of the fastest and most comprehensive in the world—to build and deploy systematic trading strategies. Our researchers use statistical and machine learning techniques to uncover patterns in market behavior used to build predictive models, formalize and solve optimization problems to create trading strategies, and are involved in the entire process from idea generation to production results. This is a new team operating on a collaborative basis, with a rare opportunity to work on challenging problems across the full business scope and have outsized impact. Location is flexible for the right candidate, though New York or Hong Kong are preferred.

Requirements

  • Solid academic background in mathematics, machine learning, computer science, physics or a similar quantitative field with a strong research experience equivalent to research-oriented masters degree or ideally a PhD in the field
  • Strong quantitative research experience in the systematic trading space, across idea generation, research, deployment, and production analysis, with a track record of delivering impactful results
  • Effective programming skills and prior experience building high quality, scalable software in scripting / dynamic languages such as Python or lower level languages such as C++, ideally in both
  • Ability to communicate clearly and effectively both at a high level and in details

Responsibilities

  • Analyzing large data sets of various origins to form and test hypotheses regarding market behavior
  • Researching and building statistical models of financial instruments’ valuation and returns
  • Formalizing and implementing trading strategies and algorithms through solving the appropriate optimization problems
  • Building robust and scalable quantitative research methods, tools and platforms, across the full pipeline from data extraction and analysis to model calibration and reporting

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 (e.g., gym, personal training and more)
  • Company-sponsored sports teams and fitness events (JPM Corporate Challenge, Cycle for Survival, Wall Street Rides FAR and more)
  • Volunteer opportunities and charitable giving
  • Social events, happy hours, treats, and celebrations throughout the year
  • Workshops and continuous learning opportunities
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service