Tower Research Capital Quantitative Trader/Researcher Intern at Tower Research Capital designing and deploying high-frequency trading algorithms. Analyzes market data and microstructure to explore trading ideas and develop analytical tools.
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
Qualification
Bachelor’sMajoring in computer scienceA working knowledge of Linux/UnixStrong problem-solving abilitiesStrong communication skillsInterest in financial marketsPast industry experienceFamiliarity with machine learning
Required
Bachelor’s, Master’s, or PhD student
Majoring in computer science, mathematics, physics, electrical engineering, or related fields
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 weekly base salary range $3,500-5,700.