Quantitative Researcher (Mulitple Openings)
About The Position
Tower Research Capital is hiring Quantitative Researchers to design, implement, and deploy trading algorithms; research high- to mid-frequency alphas; and explore trading ideas using market data, market microstructure, and alternative data. The role includes identifying patterns, developing tools and data platforms for analysis, contributing analytical-computation libraries, developing and calibrating exchange simulators, and applying market intuition and discretionary oversight to live execution. The position requires a PhD or foreign equivalent in Mathematics, Statistics, Computer Science, or a related STEM field, along with expertise in deep learning, applied mathematics, statistics, back-testing, data mining, signal generation, and programming in Python and C++. Experience may come from paid or unpaid positions, and skills may be acquired through academic coursework while pursuing studies. The anticipated New York annual base salary is $150,000 to $250,000, with eligibility for a discretionary bonus. Tower offers hybrid working opportunities and describes a collaborative, results-oriented workplace. The company is headquartered in New York City and has offices around the world.
Requirements
- PhD degree or foreign equivalent in Mathematics, Statistics, Computer Science, or a related STEM field.
- Deep learning expertise in neural architectures, specifically generative models or reinforcement learning.
- Applied mathematics expertise, specifically calculus, linear algebra, and optimization theory.
- Statistics expertise in interference and signal processing, advanced time-series analysis, information theory, or statistical arbitrage.
- Experience with back-testing, simulation, and statistical techniques, including auto-regression, auto-correlation, and Principal Component Analysis.
- Data mining and analysis skills, including experience handling large amounts of data or tick data.
- Experience with signal generation and statistical models.
- Programming skills in Python and C++.
- Experience may be gained in paid or unpaid positions.
- Skills may be gained through academic coursework and concurrently while pursuing academic studies.
Responsibilities
- Design, implement, and deploy trading algorithms.
- Research high- to mid-frequency alphas.
- Explore trading ideas by analyzing market data, market microstructure, and alternative data for patterns.
- Create tools to analyze data for patterns and develop data platforms.
- Contribute to libraries of analytical computations supporting market data analysis and trading.
- Develop, augment, and calibrate exchange simulators.
- Integrate market intuition and discretionary oversight to manage live execution.
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, such as gym and personal training.
- Company-sponsored sports teams and fitness events.
- 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
Education Level
Ph.D. or professional degree
