Develop high-frequency trading strategies using machine learning, conduct large scale data analyses, and collaborate with cross-functional teams.
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 behaviour. 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 behaviour. 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 • Software
As a Campus Recruiter, you will lead talent acquisition strategies, engage with university stakeholders, manage recruitment processes, and develop innovative strategies to attract technology talent.
Fintech • Software
Design and manage global storage solutions, collaborate with teams on data workflows, resolve storage and networking issues, and ensure performance optimization.
Top Skills:
AnsibleAWSBashBeegfsCephDdnGCPGoGpfsHdfsKubernetesLinuxLustreMinioPowerscalePrometheusPythonRustS3TerraformVastWeka
Fintech • Software
Develop high to mid frequency delta one trading strategies, perform large scale data analysis for market predictions, and mentor junior staff.
Top Skills:
Machine LearningPyTorchTensorFlow
What you need to know about the Melbourne Tech Scene
Home to 650 biotech companies, 10 major research institutes and nine universities, Melbourne is among one of the top cities for biotech. In fact, some of the greatest medical advancements were conceptualized and developed here, including Symex Lab's "lab-on-a-chip" solution that monitors hormones to predict ovulation for conception, and Denteric's vaccine for periodontal gum disease. Yet, the thousands of people working in the city's healthtech sector are just getting started, to say nothing of the tech advancements across all other sectors.