Lead Alpha Researcher, Systematic Equities
Imc•15h ago
United KingdomOnsiteFull-timeSenior Level5+ yrs exp
Top focus
Ai ResearcherUx Researcher
- The Role
- IMC is seeking a Lead Alpha Researcher to join our Systematic Equities team in London. This is a senior hands-on research and leadership role focused on developing and scaling alpha generation, predictive modelling
- machine learning capabilities across our global equities business.
- You will lead a key part of the European alpha research team, managing researchers and driving a portfolio of high-impact alpha initiatives from idea generation through production deployment. You will work as part of a closely coordinated global alpha initiative, helping to set priorities, develop researchers, elevate research quality
- scale high-impact ideas across regions.
- Working closely with traders, researchers, and developers globally, you will drive the discovery, validation, and deployment of new sources of alpha that improve production trading performance.
- Our Systematic Equities business benefits from significant advantages in market access, execution quality, global reach
- technology. The continued growth of machine learning and data-driven research creates opportunities to unlock these advantages and tackle some of the most impactful problems in systematic trading.
- IMC competes and wins as a team, with open idea sharing and collaboration across disciplines, desks, and offices.
- Responsibilities
- Take a leading role in research, development, and deployment of alpha signals and predictive models, contributing to a globally coordinated alpha effort across equities markets.
- Manage, grow, and develop a core part of the European alpha research team.
- Help define and prioritise the alpha research agenda.
- Deliver measurable improvements in production trading performance through robust research, disciplined validation, and close collaboration with trading teams.
- Establish and uphold best practices for research methodology, validation, reproducibility, and deployment across the alpha research team.
- Foster a research culture built on scientific rigour, intellectual curiosity, open idea sharing, and continuous improvement.
- Drive the development of scalable research tools, datasets, and modelling frameworks that increase team productivity.
- Skills & Experience
- Master’s or PhD in Machine Learning, Statistics, Mathematics, Computer Science, Engineering, Physics, or another quantitative discipline.
- 5+ years of experience developing systematic, intraday horizon trading strategies, predictive models, and alpha signals.
- Demonstrated track record of generating profitable, value-adding, and orthogonal signals in a production trading environment.
- Experience managing, mentoring, or leading researchers in a high-performance research environment.
- Demonstrated ability to influence research direction, prioritise opportunities, and drive impactful research outcomes.
- Strong practical experience applying machine learning techniques to prediction problems, with a clear understanding of overfitting risks and robust model validation.
- Deep understanding of statistics, experimental design, hypothesis testing, and research methodology.
- Strong programming skills in Python.
- Excellent communication and collaboration skills, with the ability to work effectively across research, trading, engineering, and global office locations.
- 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
- India, our talented quant researchers, engineers, traders
- business operations professionals are united by our uniquely collaborative, high-performance culture
- our commitment to giving back. From entering dynamic new markets to embracing disruptive technologies
- from developing an innovative research environment to diversifying our trading strategies, we dare to continuously innovate and collaborate to succeed.
Required skills
Machine LearningStatisticsMathematicsComputer ScienceEngineeringPhysicsPython