Quantitative Researcher
About The Position
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.
Requirements
- Minimum Requirements: Bachelor’s degree or foreign equivalent in Mathematics, Statistics, Computer Science, or related field.
- Must have experience with the following:
- Heavy concentration in mathematics, including statistics and probability;
- Working in back-testing historical performance and bootstrapping simulation of quantitative strategies;
- Research large data sets and developing quantitative models across multiple asset classes;
- Highly specialized knowledge in machine learning, big data, statistical modeling, portfolio construction theory, deep learning, econometrics, time series, linear algebra; and
- Programming in Python, R, and Matlab.
Responsibilities
- Design, implement and deploy trading algorithms.
- Research high to mid frequency alphas to develop algorithmic trading strategies.
- Evaluate strategic trading opportunities by analyzing market data, market microstructure, and alternate data for patterns.
- Develop algorithmic 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.
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
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
