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Quantitative Trader / Researcher - APAC

Tower Research Capital

About the Role

As a member of Tower Research Capital's trading teams, a Quantitative Trader / Researcher will use Tower's in-house trading system—one of the fastest and most comprehensive in the world—to develop and deploy algorithmic trading strategies based on patterns in market behavior.

  • Designing, implementing and deploying trading algorithms
  • Researching high to mid frequency alphas
  • Exploring trading ideas by analyzing market data, market microstructure and alternate data for patterns
  • Creating tools to analyze data for patterns and developing data platforms
  • Contributing to libraries of analytical computations to support market data analysis and trading
  • Developing, augmenting and calibrating exchange simulators

Requirements

  • A Bachelors, Masters or PhD degree in Mathematics, Statistics, Computer Science or equivalent STEM degree
  • Experience in quantitative trading is preferred but not a requirement
  • A strong background in mathematics and statistics
  • Proficiency in back-testing, simulation, and statistical techniques (auto-regression, auto-correlation and Principal Component Analysis)
  • Solid data-mining and analysis skills, including experience dealing with a large amount of data/tick data
  • Familiarity with signal generation and statistical models
  • Strong programming skills in Python or C++

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