Quantitative Developer — Python Trading Tools (Hybrid)

Tower Research Capital; Singapore; Hybrid; SGD 78,000 - 123,000; Full time

Benefits offered by this job

Generous paid time off

Hybrid working opportunities

Free breakfast, lunch and snacks daily

Wellness reimbursements

Company-sponsored events

Volunteer opportunities

Social events and ongoing learning

Job summary

Tower Research Capital is seeking a Python-focused software engineer in Singapore to join our quantitative trading team. You will develop Python tools for research, improve the backtest and simulation framework, and collaborate with on-site researchers across APAC.

Candidates should have a CS/engineering degree, 2+ years Python experience, and strong problem-solving. Nice-to-have skills include C++, Bash, and knowledge of equities trading.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related field; Master’s preferred.
• Very good knowledge of Python and libraries like Numpy, Pandas, Polars.
• Minimum 2 years of Python development experience.
• Strong problem-solving, communication and teamwork in a fast-paced, distributed environment.
• Nice-to-have: C++ development, Bash scripting, workflow scheduling, and knowledge of equities trading.

Responsibilities

• Iterate quickly with on-site quantitative researchers to improve desk trading strategies' P&L.
• Develop Python tools used in strategies research.
• Improve the existing simulation/backtest framework.
• Monitor and maintain quantitative research jobs.
• Support APAC-related research via various communication channels.

Skills

Python

Python libraries

Problem solving

Communication & teamwork

Education

Bachelor’s degree in Computer Science or related field

Master’s degree preferred

Tools

Numpy

Pandas

Polars

C++ development (nice to have)

Bash scripting

Job description

Tower Research Capital is seeking a Python-focused software engineer in Singapore to join our quantitative trading team. You will develop Python tools for research, improve the backtest and simulation framework, and collaborate with on-site researchers across APAC.

Candidates should have a CS/engineering degree, 2+ years Python experience, and strong problem-solving. Nice-to-have skills include C++, Bash, and knowledge of equities trading.