Tower Research Capital is looking to solve challenges in low-latency programming, FPGA technology, hardware acceleration, and machine learning by hiring engineers to develop electronic trading infrastructure.
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
- Communicating with internal and external trade support, market centers, and other parties to handle real-time trading issues and improve understanding of specific markets
- Shaping the future of Tower through regular interviewing and infrequent campus recruiting trips
Other
- A Bachelor’s, Master’s, or PhD degree in computer science, mathematics, physics, electrical engineering, or related fields
- 0-2 years of experience
- 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
- Past industry experience
- Experience as a Teaching Assistant and/or participation in relevant Olympiads
