Quantitative Trader Intern: High-Frequency, Data-Driven

Tradermath; New York (NY); Hybrid; USD 159,000 - 259,000; Full time

Benefits offered by this job

Housing accommodation

Free meals

Networking events

Mentors from top institutions

Job summary

Tower Research Capital is a leading quantitative trading firm hiring student engineers to design, implement, and deploy high-frequency trading algorithms in New York and Chicago. You will explore ideas by analyzing market data and building tools for data pattern analysis.

Ideal candidates are pursuing a Bachelor’s, Master’s, or PhD in CS, Math, Physics, or EE, with proficiency in C++ and Python, Linux knowledge, strong problem-solving, and passion for new tech and markets.

Qualifications

• Bachelor’s, Master’s, or PhD student in a relevant field such as computer science, mathematics, physics or electrical engineering.
• Proficient in an object-oriented language (C++ and Python preferred).
• Working knowledge of Linux/Unix.
• Strong problem-solving abilities and interest in financial markets.

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

Skills

Problem solving

Communication skills

Multitasking

Interest in finance

Education

Bachelor’s, Master’s, or PhD student

Tools

C++

Python

Linux/Unix

Job description

Tower Research Capital is a leading quantitative trading firm hiring student engineers to design, implement, and deploy high-frequency trading algorithms in New York and Chicago. You will explore ideas by analyzing market data and building tools for data pattern analysis.

Ideal candidates are pursuing a Bachelor’s, Master’s, or PhD in CS, Math, Physics, or EE, with proficiency in C++ and Python, Linux knowledge, strong problem-solving, and passion for new tech and markets.