At a Glance
- Tasks: Lead groundbreaking machine learning research and mentor a team of quantitative researchers.
- Company: IMC, a top trading firm blending tech and finance for real-world impact.
- Benefits: Access to world-class datasets, significant compute resources, and a collaborative environment.
- Other info: Engage with the global ML community at leading conferences.
- Why this job: Shape the future of machine learning in finance and make a tangible difference.
- Qualifications: Established academic researcher or scientist with expertise in machine learning.
The predicted salary is between 80000 - 100000 £ per year.
IMC is one of the world’s leading trading firms, combining quantitative research, technology and trading expertise to solve complex problems at scale.
As Machine Learning becomes increasingly important within our Systematic Equities business, we are investing in frontier research that can shape the next generation of models, infrastructure and research capabilities.
With access to world-class datasets, significant compute resources and a highly collaborative environment, IMC offers a unique opportunity to see cutting‑edge research translated into real‑world impact.
We are seeking a Principal Research Scientist to help define and accelerate our long-term machine learning research agenda.
Prior finance experience is not required.
The Role This role is designed for an established academic researcher or research scientist who wants to remain connected to the frontier of machine learning while applying their expertise in a highly impactful environment.
You will work alongside quantitative researchers, engineers and research leadership to identify emerging research directions, evaluate new developments in machine learning, and help translate promising academic advances into practical applications.
Rather than owning individual trading strategies, you will act as a scientific leader, mentor and advisor across the research organisation.
You will also represent IMC externally through participation in leading conferences and engagement with the broader machine learning community.
Responsibilities Shape the long-term machine learning research agenda within Systematic Equities.
Identify and translate advances from frontier ML research into practical opportunities.
Conduct original research and develop proof‑of‑concept solutions where appropriate.
Advise and mentor quantitative researchers on methodology, experimentation and research direction.
Help guide future investments in research tooling, infrastructure and compute capabilities.
Represent IMC within the global machine learning community through conferences such as Neur IPS, ICML and ICLR.
Contribute to publication efforts where appropriate and consistent with intellectual property considerations.
Skills
