Tower Research Capital is looking to solve complex problems in electronic trading infrastructure, including low-latency programming, FPGA technology, hardware acceleration, and machine learning, to maintain its competitive edge in the quantitative trading market.
Requirements
- Proficient in an object-oriented programming language (C++ and Python preferred)
- A working knowledge of Linux/Unix
- Familiarity with machine learning, data analysis, market research and data modeling
Responsibilities
- Designing, implementing, and deploying high-frequency trading algorithms
- Exploring trading ideas by analyzing market data and market microstructure for patterns
- Creating tools to analyze data for patterns
- Contributing to libraries of analytical computations to support market data analysis and trading
- Developing, augmenting, and calibrating exchange simulators
Other
- Bachelor’s, Master’s, or PhD student
- Majoring in computer science, mathematics, physics, electrical engineering, or related fields
- Strong problem-solving abilities
- A passion for new technologies and ideas
- The ability to manage multiple tasks in a fast-paced environment
- Strong communication skills
- Interest in financial markets
