Tower Research Capital is a leading quantitative trading firm founded in 1998, known for its innovative trading strategies and high-performance platform. The Quantitative Trader / Researcher will develop and deploy algorithmic trading strategies using market data analysis and contribute to the trading team's success.
Responsibilities
- 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
Skills
- A Bachelors, Masters or PhD degree in Mathematics, Statistics, Computer Science or equivalent STEM degree
- 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++
- Experience in quantitative trading is preferred but not a requirement
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
Company Overview
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