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Quantitative Trader / Researcher - EMEA

Tower Research Capital
🇬🇧London🇳🇱Amsterdam🇫🇷ParisMediorFull-timePosted May 11, 2023

About the Role

As a member of one of Tower's trading teams, a Quantitative Trader / Researcher will be using 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. You will design, implement, and deploy trading algorithms while researching high to mid frequency alphas and exploring trading ideas by analyzing market data, market micro-structure, and alternate data for patterns. You will create tools to analyze data and contribute to libraries of analytical computations to support market data analysis and trading.

Requirements

  • A bachelors, masters or PhD degree from a top-tier university in Mathematics, Statistics, Computer Science, or equivalent STEM degree
  • Experience in high-frequency trading or 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 and/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