Level

IMC

Lead Alpha Researcher, Systematic Equities

AI in this role

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, and 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, and 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, and 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 research-driven trading firm where quantitative modeling, machine learning, and engineering shape how modern markets are traded. A stabilizing force in markets since 1989, we provide liquidity across trading venues, delivering the best outcome in value and risk management to investors. Using our own technology and capital, we build proprietary systems and algorithms that operate across global markets. Our researchers, traders, and engineers work as a collective, combining rapid experimentation, advanced infrastructure, and real-time feedback to turn insight into execution and execution into advantage.

 

How we rate this

Lead Alpha Researcher, Systematic Equities at IMC rates 86 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Get new AI jobs (Builds AI ●●●●) by email

One email a week with the new AI jobs (Builds AI ●●●●), each rated for how much AI is in the work. No recruiter spam, unsubscribe in one click.

Free. One email a week. Unsubscribe in one click.

Similar roles

Research roles that build AI, at other companies.

What kind of AI work fits you?

Answer 12 practical questions in about three minutes. Get a simple profile, the work it points to, and live roles to explore next.

Find my next step

More jobs at IMC

Related searches

Same AI level