Develop high frequency delta one trading strategies and predictive models, perform large scale data analysis, and collaborate with traders and developers.
IMC is looking for experienced quant researchers to develop high frequency delta one trading strategies and predictive models for the APAC markets. If you're excited about helping to push the boundaries of what we can do with Machine Learning in trading, unlocking the significant edges we have in execution, and collaborating to become the best trading firm worldwide, this may be the role for you.
You will be responsible for performing large scale data analysis to derive statistically profitable predictions of market behavior. These predictions are used to inform all of our trading, and improvements have a high and visible impact across the office. You will also help to shape the direction we take across research and tooling. We have longstanding and significant edges across market access, global reach, Options understanding and low latency. The rapid growth we've already seen in Machine Learning has unlocked these edges, and some of the most interesting and impactful problems are now being tackled.
You will work as part of an established and growing research team, collaborating closely with traders, software and hardware developers to find improvements to our models and see them impact our production results. IMC competes and wins as a team, with open idea sharing and collaboration across disciplines, desks and offices.
Your Core Responsibilities:
Your Skills and Experience:
About Us
IMC is a global trading firm powered by a cutting-edge research environment and a world-class technology backbone. Since 1989, we've been a stabilizing force in financial markets, providing essential liquidity upon which market participants depend. Across our offices in the US, Europe, Asia Pacific, and India, our talented quant researchers, engineers, traders, and business operations professionals are united by our uniquely collaborative, high-performance culture, and our commitment to giving back. From entering dynamic new markets to embracing disruptive technologies, and from developing an innovative research environment to diversifying our trading strategies, we dare to continuously innovate and collaborate to succeed.
You will be responsible for performing large scale data analysis to derive statistically profitable predictions of market behavior. These predictions are used to inform all of our trading, and improvements have a high and visible impact across the office. You will also help to shape the direction we take across research and tooling. We have longstanding and significant edges across market access, global reach, Options understanding and low latency. The rapid growth we've already seen in Machine Learning has unlocked these edges, and some of the most interesting and impactful problems are now being tackled.
You will work as part of an established and growing research team, collaborating closely with traders, software and hardware developers to find improvements to our models and see them impact our production results. IMC competes and wins as a team, with open idea sharing and collaboration across disciplines, desks and offices.
Your Core Responsibilities:
- Combine creativity and experience to rapidly generate high quality, testable ideas
- Use a rigorous and structured process to ensure your results are reliable and well tested
- Refine and leverage a strong grasp of market dynamics and microstructure, to create powerful features
- Have a solid understanding of statistics, a variety of machine learning approaches, and the risks of overfitting
Your Skills and Experience:
- 3+ years experience as a Quantitative Researcher or Trader, with specific experience in high frequency Equities or Futures, and a proven track record
- Graduate & Postgraduate study from a top university, majoring in machine learning, statistics, or STEM subjects
- Strong programming skills in at least one language (python preferred)
- Significant practical experience with at least one mainstream ML approach
About Us
IMC is a global trading firm powered by a cutting-edge research environment and a world-class technology backbone. Since 1989, we've been a stabilizing force in financial markets, providing essential liquidity upon which market participants depend. Across our offices in the US, Europe, Asia Pacific, and India, our talented quant researchers, engineers, traders, and business operations professionals are united by our uniquely collaborative, high-performance culture, and our commitment to giving back. From entering dynamic new markets to embracing disruptive technologies, and from developing an innovative research environment to diversifying our trading strategies, we dare to continuously innovate and collaborate to succeed.
Top Skills
Machine Learning
Python
Similar Jobs at IMC Trading
Fintech • Machine Learning • Software • Financial Services
The Recruiter for IMC will drive campus and early-career recruitment, manage relationships with universities, and handle full-cycle recruitment for junior roles.
Fintech • Machine Learning • Software • Financial Services
Design and build ML infrastructure, influence data access and model deployment, partner with researchers to optimize ML models for trading, and mentor engineers.
Top Skills:
C++CudaCudnnHorovodJaxNcclPythonPyTorchTensorFlowTensorrt
Fintech • Machine Learning • Software • Financial Services
Conduct monetization research and large-scale backtests for delta-one equity strategies, evaluate PnL, transaction costs and scalability, optimize portfolio construction and risk controls, collaborate with engineers and traders to move strategies from validation to production.
Top Skills:
C++Python
What you need to know about the Seattle Tech Scene
Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute


.png)