Towerresearchcapital
Quantitative Trader / Researcher - EMEA
London, Paris, Amsterdam. Posted 42 months ago
The role
A Quantitative Trader / Researcher will use Tower's in-house trading system to develop and deploy algorithmic trading strategies based on patterns in market behavior.
What you will do
- Designing, implementing, and deploying trading algorithms
- Researching high to mid frequency alphas
- Exploring trading ideas by analysing market data, market micro-structure and alternate data for patterns
- Creating tools to analyse data for patterns
- Contributing to libraries of analytical computations to support market data analysis and trading
- Developing, augmenting, and calibrating exchange simulators
Required qualifications
- A bachelors, masters or PhD degree from a top-tier university 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 and/or C++
Nice to have
- Experience in high-frequency trading or quantitative trading
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
About the company
Tower Research Capital is a leading quantitative trading firm founded in 1998. The firm has a 25+ year track record of innovation and a reputation for discovering unique market opportunities.