At a Glance
- Tasks: Lead groundbreaking machine learning research and translate it into real-world applications.
- Company: Join IMC, a top global trading firm with a collaborative culture.
- Benefits: Competitive pay, access to exceptional datasets, and opportunities for academic engagement.
- Other info: Dynamic role with excellent career growth and collaboration opportunities.
- Why this job: Shape the future of machine learning in a high-impact environment.
- Qualifications: PhD in a quantitative field and strong publication record required.
The predicted salary is between 90000 - 110000 £ 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 & Experience
- Ph D in Machine Learning, Computer Science, Statistics, Mathematics, Physics or a related quantitative discipline.
- Outstanding academic credentials and a strong publication record in leading research venues.
- Current or recent experience in a faculty-equivalent academic or research leadership role such as Assistant Professor, Associate Professor, Professor, Group Leader, Principal Investigator, Senior Postdoctoral Researcher, or Senior Research Scientist.
- Deep expertise in modern machine learning and strong awareness of emerging research trends.
- Experience influencing research direction, mentoring researchers, or leading research initiatives.
- Strong programming skills and experience with modern machine learning frameworks.
- Excellent communication skills and the ability to collaborate across disciplines.
What We Offer
- The opportunity to influence the future of machine learning at one of the world’s leading trading firms.
- Access to exceptional datasets, infrastructure and large‑scale compute resources.
- Continued engagement with the academic community through conferences, collaborations and publication opportunities.
- A collaborative environment where research can move rapidly from idea to impact.
- Competitive compensation that reflects both scientific excellence and commercial impact.
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.
For three decades IMC has provided liquidity to the financial markets globally.
Specialised in algorithmic trading and advanced technology, we set the pace for the evolution of market making.
- Cutting‑edge…
- #J-18808-Ljbffr
Principal Research Scientist – Machine Learning in London employer: Trading Interview
Tower Research Capital is an exceptional employer that fosters a dynamic and collaborative work culture, where innovation and rigorous experimentation are at the forefront. Located in a vibrant financial hub, employees benefit from cutting-edge technology and resources, alongside ample opportunities for professional growth and development within the fast-paced world of quantitative trading. Join us to be part of a team that values your contributions and rewards your success in a meaningful way.
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