Summary
Join Tower Research Capital, a high-frequency proprietary trading firm, as a Quantitative Trader / Researcher and utilize the in-house trading system to develop and deploy algorithmic trading strategies.
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++
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
Benefits
- Competitive salary and discretionary bonuses
- 5 weeks of paid vacation per year
- Meals and snacks on a daily basis
- Medical insurance
- Gym membership allowance
- Free events and workshops
- Donation matching program
