Jump Trading

Quantitative Researcher | Trading Team

Jump Trading  •  Singapore, SG (Onsite)  •  15 days ago
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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 incenting 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.

What You'll Do:

Quantitative Researchers collect and analyze tens of thousands of data sets, identify patterns and extract insights into the complexities in financial markets. Researchers lean heavily on statistical analysis, machine learning, and data engineering skills; applying the results of their research to forecasts and predictive trading models. Jump’s Quantitative Researchers are constantly collaborating with other scientists, traders, hardware and software developers, and market facing business teams to push for the best expression of our new ideas. Includes other duties as assigned or needed.

Skills You'll Need:

  • Creative thinkers who are driven, self-motivated, and eager to solve challenging problems
  • Proven success with profitable trading strategies
  • Strong programming skills in C++ in a Linux environment
  • Working knowledge of forecasting and data mining techniques, such as linear and non-linear regression analysis, neural networks or support vector machines
  • Strong experience developing statistical models in a trading environment
  • Proven success working with large data sets and developing statistical models
  • Fascinated and interested in advancing machine learning within the trading community
  • Possess strong familiarity with Python, R or Matlab along with development skills to support research efforts
  • Masters or PhD in Statistics, Physics, Mathematics (or related subject)
  • Desire to work within a collaborative, team-driven environment
  • Excellent written and spoken English communication skills
  • Reliable and predicable availability

If you are currently a student or recent graduate, please see our Campus postings which offer both intern and full-time opportunities.

Jump Trading

About Jump Trading

For more than 25 years, Jump Trading has been home to people who see trading as the most fascinating problem in the world and want to solve it from every angle.

Headquartered in Chicago with 13 offices across 8 countries, we operate across asset classes, time zones, and horizons. If it trades, we want to trade it.

We are traders, engineers, and researchers working side by side to build the systems that move global markets. Our culture is built on curiosity, precision, and relentless iteration. We care deeply about impact, collaboration, and solving problems few ever get to see.

At Jump Trading, AI and machine learning are central to how we trade and build. We design and deploy advanced models, infrastructure, and tools to operate at scale in high-stakes, adversarial environments. From low-latency systems to cutting-edge research, we push the boundaries of what is possible.

We are also committed to the next generation of talent. Our student programs, from internships to our fully funded PhD Fellowships, provide hands-on experience, mentorship, and opportunities to do meaningful work. We support students at leading conferences worldwide and invite them to work with our teams on real-world challenges.

Industry
Finance & Insurance
Company Size
1,001-5,000 employees
Headquarters
Chicago, Illinois
Year Founded
Unknown
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