Quantitative Research Intern: HFT Algorithms & ML

Tower Research Capital; Hong Kong; On-site; HKD 1,000,000 - 1,900,000; Full time

Benefits offered by this job

Competitive compensation

Free meals daily

Networking events

Mentors from alma mater

Learning from senior management

Job summary

Tower Research Capital is a leading quantitative trading firm with a long track record of innovation. We build high-performance platforms and empower independent trading teams around the world.

In this role you will design, implement, and deploy mid- to high-frequency trading algorithms, analyze market data for patterns, and create tools to support data-driven trading decisions, collaborating with top engineers and researchers.

Qualifications

• PhD or postdoc in mathematics, statistics, CS, physics, or ML.
• Strong programming in C++ and Python.
• Experience with Linux/Unix environments.
• Excellent problem-solving and communication skills.

Responsibilities

• Design and deploy mid- to high-frequency trading algorithms.
• Analyze market data and microstructure for patterns.
• Create data analysis tools for pattern discovery.
• Contribute to analytics libraries for market data and trading.
• Develop, augment, and calibrate exchange simulators.

Skills

C++

Python

Linux/Unix

Problem-solving

Communication skills

Multi-tasking

Interest in financial markets

Education

PhD or Postdoctoral in Mathematics/Statistics/CS/Physics/ML

Tools

Git

Linux

Job description

Tower Research Capital is a leading quantitative trading firm with a long track record of innovation. We build high-performance platforms and empower independent trading teams around the world.

In this role you will design, implement, and deploy mid- to high-frequency trading algorithms, analyze market data for patterns, and create tools to support data-driven trading decisions, collaborating with top engineers and researchers.