Quantitative Trader
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Responsibilities
- Design, implement and deploy trading algorithms
- Support live trade strategies in production
- Research high to mid frequency alphas
- Explore trading ideas by analyzing market data, market microstructure and alternate data for patterns
- Present research results transparently and convincingly
- Create tools to analyze data for patterns and develop data platforms
- Contribute to libraries of analytical computations to support market data analysis and trading
- Develop, augment and calibrate exchange simulators
- Part-time work from home benefits
Requirements
- Bachelor's degree or foreign equivalent in Mathematics, Statistics, Computer Science, or related STEM
- field
- Experience may be gained from coursework or internship. Must have experience with the following:
- Derivatives pricing and stochastic calculus
- Machine Learning including LLM
- Probability Theory
- Mathematics and statistics
- Back-testing, simulation, and statistical techniques, including auto-regression, auto-correlation and Principal Component Analysis
- Data mining and analysis skills, including experience dealing with a large amount of data
- Signal generation and statistical models
- Programming skills in Python or C++
- Anticipated New York annual base salary range $125,000-$250,000, plus eligible for discretionary bonus.
- If interested, in addition to applying here you can email your resume indicating job # ID 00088964 to: Tower HR at us-ta@tower-research.com .
Benefits
Additional Information
Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential.
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