Quantitative Research Intern: Build Trading Tools

Tower Research Capital; Sydney; On-site; AUD 90,000 - 120,000; Full time

Benefits offered by this job

Competitive compensation package

Free breakfast, lunch, and snacks

Networking and social events

Mentors from alma mater

Job summary

Tower Research Capital is seeking PhD candidates or in-year final-year researchers to design, implement, and deploy mid- to high-frequency trading algorithms. You’ll work with data, models, and exchange simulators on a high-performance platform with a global team.

We look for PhD or final-year students in math, statistics, CS, physics, or ML, with strong C++ and Python, Linux/Unix knowledge, and an interest in financial markets.

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)
• 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

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

Multitasking

Financial markets interest

Education

PhD or Postdoctoral research in math/CS/physics/ML

Tools

Linux/Unix

Job description

Tower Research Capital is seeking PhD candidates or in-year final-year researchers to design, implement, and deploy mid- to high-frequency trading algorithms. You’ll work with data, models, and exchange simulators on a high-performance platform with a global team.

We look for PhD or final-year students in math, statistics, CS, physics, or ML, with strong C++ and Python, Linux/Unix knowledge, and an interest in financial markets.