Tower Research Capital is a leading quantitative trading firm founded in 1998. They are seeking a Quantitative Trader Intern to design and implement high-frequency trading algorithms, analyze market data, and contribute to trading tools and simulations.
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
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
Competitive compensation package
Housing accommodation
Free breakfast, lunch, and snacks daily
Exciting networking and social events (e.g. Broadway shows, escape rooms, cooking classes)
Opportunities to learn from senior management across the firm
Mentors from your alma mater and other top institutions
Tower Research Ventures, the venture arm of Tower Research Capital, does pre-seed and seed investments in NYC.
