Campus Quantitative Researcher (Intern) Jump Trading · 6 hours ago

Tradermath; Singapore; On-site; SGD 13,000 - 20,000; Full time

Benefits offered by this job

Training program

Mentorship

Exposure to quantitative research

Job summary

Jump Trading Group is seeking talented undergraduates or graduate students for a 10-week internship in Singapore. You will dive into predictive modeling, research, and software development across trading roles, guided by experienced quants and engineers.

Training covers machine learning, statistics, Python, and C++ with hands-on simulations. Selected interns join rotations with trading and research teams, building models on high-performance systems and contributing to automated strategies tested

Qualifications

• Strong programming and/or quantitative analysis skills.
• Willingness to learn trading concepts and financial data analysis.
• Comfort with fast-paced, collaborative research environment.

Responsibilities

• Support development of predictive models for trading strategies.
• Assist quant researchers and software engineers during rotations.
• Contribute to data analysis, model testing, and backtesting within a training framework.

Skills

Programming

Quantitative analysis

Education

Undergraduate or graduate student

Tools

Python

C++

Machine Learning

Job description

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incentivizing collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems.

Our trading teams are each comprised of a dynamic group of traders, quantitative researchers, and engineers who work together to examine the global markets, seeking to understand the complexities of various traded products and exchanges. They leverage their impeccable statistical analysis and data mining skills, using the results of their research to make forecasts and develop profitable predictive trading models.

• Candidates should be interested in working in Singapore for their full‑time job after graduation.
• Timing of application consideration and interviews will vary to accommodate university timelines.

About the Role:

We build predictive models from big data and develop algorithms to automatically execute trades in dozens of financial exchanges around the world.

At Jump you will have the opportunity to contribute in a blend of three roles – quant researcher / data scientist, trader, and software developer – based on your incoming skills and background, interest and curiosity, and the new skills and industry knowledge that you will learn at Jump.

Our 10‑week internship program begins with a training program focused on enhancing your knowledge of trading, programming, and quant research. The training consists of in‑house courses and trading simulation developed and delivered by experienced quant researchers, traders, and developers. We have experts from around the firm who will teach you advanced skills in a variety of areas such as machine learning, trading / market mechanics, statistics, Python, C++, and our research process for signal generation.

You will later be coached to successfully apply those skills during rotations with trading teams and research projects with mentorship from experienced quants/traders. You will help build predictive models, leveraging one of the largest supercomputers in the world, and devise automated trading strategies to test in the markets against world‑class competition. Other duties as assigned or needed.

Who Should Apply?

• We are seeking the sharpest analytical minds from top undergraduate and graduate programs. Ideal candidates have an uncommon drive to learn and improve, an entrepreneurial spirit, and strong skills in programming and/or quantitative analysis (statistics, data mining, mathematics, machine learning, etc.).
• No prior knowledge of finance or trading is necessary. We’ll give you the training that you’ll need.
• Reliable and predictable availability required.
• Although we strongly value training in Computer Science and Mathematics, we are excited to meet people with exceptional achievements in any technical discipline. Recent hires include students from fields such as Electrical Engineering, Statistics, Physics, Neuroscience, Materials Science, Operations Research, and more.

If you have outstanding skills in math, ML, and programming, and you are curious about the challenge of improving research with daily feedback from competitive markets, we hope you’ll apply.