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
Qualifications
A Bachelors, Masters or PhD degree in Mathematics, Statistics, Computer Science or equivalent STEM degreeExperience in quantitative trading is preferred but not a requirementA strong background in mathematics and statisticsProficiency 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 dataFamiliarity with signal generation and statistical modelsStrong programming skills in Python or C++Benefits
Tower continues to enhance the in-house trading system and strategies that have positioned the firm as a leader in the thriving field of quantitative trading. While Tower offers challenges and rewards rivaling those of any Wall Street firm, Tower’s cubicle-free workplace, jeans-clad workforce, and well-stocked kitchens reflect the premium the firm places on quality of life. Benefits include :
Competitive salary and discretionary bonuses5 weeks of paid vacation per yearMeals and snacks on a daily basisMedical insuranceGym membership allowanceFree events and workshopsDonation matching program