Graduate Machine Learning Researcher - London

6 дн. назад

United KingdomEuropeTraineeOnsite

machine learningstatistical techniquesdeep learningprobabilistic programming

Graduate role focused on designing and implementing machine learning models for trading applications, collaborating with traders and developers to impact global trading strategies.

О компании

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.

Другое

As a Graduate Machine Learning Researcher at IMC, your work will directly impact our global trading strategies. You will apply advanced machine learning, statistical, and computational techniques to solve complex, real-world trading problems, contributing to trading strategies across global equities, futures, and options markets. Machine Learning Researchers work closely with Traders and Developers in an environment where problem solving, innovation and teamwork are recognized and rewarded.
Your Core Responsibilities:
Design, implement, and evaluate machine learning models for trading applications, with successful research deployed into production
Apply rigorous statistical techniques to measure performance, control overfitting, and understand model risk and interpretability
Investigate novel machine learning approaches through rigorous experimentation and analysis in real trading environments
Communicate research progress and outcomes effectively, ensuring knowledge transfer within the team and across departments
Collaborate closely with traders, researchers, and engineers to translate research into production trading systems
Your Skills and Experience:
Currently in your final year of study, graduating in 2027
A minimum of an MSc (PhD preferred) in Machine Learning, Statistics, Deep Learning, Probabilistic Programming, or a related quantitative field
Strong foundations in statistics and machine learning, with a demonstrated research track record in ML, deep learning, or another quantitative field
Proficiency in fundamental ML frameworks like Pytorch and experience in Python
Solid understanding of statistics
Desirable: publications in respected journals covering deep learning or time-series modeling
No prior finance knowledge or experience required
Ability to commence full-time employment in February or August 2027
You may submit one application per role each year. We strongly encourage you to focus on applying to a single role that best matches your skills and interests. Though you may apply to multiple roles, please note that each application will be evaluated based on the specific criteria established for that particular role. If you have already applied for this position during the current recruitment season and were not selected, you may reapply when the next recruitment season begins in August 2027. We encourage you to focus on enhancing your skillset before reapplying.
Please note that, due to current regulations with the Immigratie en Naturalisatiedienst (IND), IMC is unable to obtain immigration sponsorship for candidates who currently have citizenship from Russia, Belarus or Iran, and attend university in one of the aforementioned countries. We greatly appreciate your understanding and hope to consider you for future opportunities.
If you have citizenship from Ukraine, you will need to confirm that you currently hold a biometric passport so that IMC can obtain the correct immigration sponsorship for you. Please confirm by emailing CampusEU@.com . If you are currently residing or attending university outside of Russia, Belarus, or Iran, and have existing work authorisation in the Netherlands or are eligible to work without sponsorship, we encourage you to apply and inform our campus recruitment team of your situation: CampusEU@.com .