Tower Research Capital Quantitative Trader/Researcher at Tower Research Capital designing and deploying high-frequency trading algorithms. Analyze market data and microstructure to identify patterns and support trading strategies.
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
Qualification
A Bachelor’s0-2 years of experienceA working knowledge of Linux/UnixStrong problem-solving abilitiesStrong communication skillsInterest in financial marketsPast industry experienceFamiliarity with machine learning
Required
A Bachelor’s, Master’s, or PhD degree in computer science, mathematics, physics, electrical engineering, or related fields
0-2 years of experience
Proficient in an object-oriented programming language (C++ and Python preferred)
A working knowledge of Linux/Unix
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
Preferred
Past industry experience
Experience as a Teaching Assistant and/or participation in relevant Olympiads
Familiarity with machine learning, data analysis, market research and data modeling
Anticipated New York and Chicago annual base salary range $150,000 - $250,000, plus eligible for discretionary bonus.