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Quantitative Researcher

Tower Research Capital
🇭🇰Hong Kong🇺🇸New YorkSeniorFull-timePosted March 4, 2025

About the Role

Quantitative Researcher at Tower Research Capital involves analyzing large datasets to form and test hypotheses about market behavior, and researching statistical models of financial instruments' valuation and returns. You will formalize and implement trading strategies and algorithms by solving optimization problems, and build robust, scalable quantitative research methods and tools across the full pipeline from data extraction to model calibration and reporting. This is a new team operating collaboratively with opportunities to work on challenging problems across the business and have outsized impact.

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

What You'll Get

  • 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