Quantitative Developer Intern — Trading Tech & Research

Tradermath; Singapore; On-site; SGD 44,000 - 71,000; Full time

Benefits offered by this job

Competitive compensation package

Free meals breakfast lunch snacks

Networking events

Job summary

Tower Research Capital, a leading quantitative trading firm, offers a 10-week internship for final-year students in CS/Engineering/Applied Math. You’ll collaborate with on-site researchers, build Python tools, and help shape research workflows for evaluating and improving trading strategies.

The role emphasizes fast learning and distributed teamwork in a high-performance environment. Situated in NYC with a global footprint, Tower emphasizes growth, innovation, and practical impact in

Qualifications

• Final-year or graduating student in CS/Engineering/Applied Math or related field
• Availability for a 10-week internship
• Strong interest in quantitative finance and software development
• Solid foundation in Python with NumPy/Pandas/Polars exposure
• Curiosity, problem-solving ability, and ability to work in a fast-paced environment
• Good communication skills and willingness to work in a distributed team
• Exposure to C++ and/or scripting languages (e.g., Bash) is a plus
• Interest in learning about large-scale systems and production-grade software engineering

Responsibilities

• Iterating quickly with on-site quantitative researchers to improve desk P&L
• Developing Python tools used across the research process
• Designing full-stack workflows with quantitative researchers to evaluate trading strategies

Skills

Python

NumPy

Pandas

Polars

C++

Bash

Communication

Teamwork

Education

Bachelor’s or Master’s in CS/Engineering/Applied Math (expected)

Ongoing degree (final year)

Tools

NumPy

Pandas

Polars

Job description

Tower Research Capital, a leading quantitative trading firm, offers a 10-week internship for final-year students in CS/Engineering/Applied Math. You’ll collaborate with on-site researchers, build Python tools, and help shape research workflows for evaluating and improving trading strategies.

The role emphasizes fast learning and distributed teamwork in a high-performance environment. Situated in NYC with a global footprint, Tower emphasizes growth, innovation, and practical impact in