Impactful Quant Research Intern – Trading & ML

Tower Research Capital; New York (NY); On-site; AUD 90,000 - 130,000; Full time

Benefits offered by this job

Competitive compensation

Free meals

Networking events

Mentors from alma mater

Learning opportunities

Job summary

Tower Research Capital is a leading quantitative trading firm seeking PhD-level researchers to design, implement, and optimize mid- to high-frequency trading algorithms. You will work on market-data analysis, simulation libraries, and data-driven tools while using C++ and Python in a Linux environment.

The role emphasizes solving challenging problems, collaborating with engineering teams, and contributing to a world-class trading platform with an entrepreneurial, fast-paced culture.

Qualifications

• PhD or Postdoctoral research focusing on mathematics, statistics, computer science, physics, machine learning, or related fields.
• Currently in the penultimate or final year of academic study.
• Proficient in an object-oriented programming language (C++ and Python preferred).
• Working knowledge of Linux/Unix.
• Strong problem-solving abilities.
• Passion for new technologies and ideas.
• Ability to manage multiple tasks in a fast-paced environment.
• Strong communication skills.
• Interest in financial markets.

Responsibilities

• Designing, implementing, and deploying mid- to 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

C++

Python

Linux/Unix

Problem solving

Communication

Education

PhD or Postdoctoral research

Tools

FPGA

Job description

Tower Research Capital is a leading quantitative trading firm seeking PhD-level researchers to design, implement, and optimize mid- to high-frequency trading algorithms. You will work on market-data analysis, simulation libraries, and data-driven tools while using C++ and Python in a Linux environment.

The role emphasizes solving challenging problems, collaborating with engineering teams, and contributing to a world-class trading platform with an entrepreneurial, fast-paced culture.