At a Glance
- Tasks: Design and implement machine learning models to enhance global trading strategies.
- Company: Join IMC, a leader in innovative trading solutions.
- Benefits: Competitive salary, diverse team, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and teamwork.
- Why this job: Make a real impact in finance using cutting-edge machine learning techniques.
- Qualifications: MSc or PhD in Machine Learning or related field; strong ML and statistics background.
The predicted salary is between 60000 - 80000 £ per year.
Overview
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.
- 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.
Skills and Experience
- Currently in your final year of study, graduating in 2027.
- A minimum of an MSc (Ph D 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 Py Torch 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.
- Eligibility Notice
Please note that, due to current regulations with the Immigration and Naturalisation Service (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.
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 email Campus EU@imc. com).
Equal Opportunity Statement
IMC is an equal opportunity employer.
IMC prohibits discrimination of any type and affords equal employment opportunities to applicants without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity and expression, national origin, age, disability, military or veteran status, status as a victim of domestic violence, and/or any other categories protected by applicable federal, state or local law.
Completion of this section is voluntary and will not affect your opportunity for employment or the terms or conditions of your employment.
The data collected from these questions will be stored separately from your individual application and will be kept confidential.
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