Tower Research Capital
Quantitative Trader Intern, PhD
Eligibility
- PhD student
PhD internship in quantitative trading involving developing and deploying HFT algorithms, data analysis, and strategy enhancement with mentorship at Tower Research Capital in New York.
Responsibilities
- Designing, implementing, and deploying high-frequency trading algorithms
- Working with a dedicated mentor to research and enhance existing trading strategies
- 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
Requirements
- Availability for 4-6 months or 10-week summer term
- PhD student focusing on mathematics, statistics, physics, electrical engineering, computer science, economics, or related fields
- A strong background in C++, R, Python, or an object-oriented programming language
- 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
Skills
- C++
- Python
- R
- Object-oriented programming
- Problem-solving
- Employer posted
- Last checked