At a Glance
- Tasks: Lead research and development of alpha signals and predictive models in a dynamic trading environment.
- Company: Join a leading global proprietary trading firm with a focus on innovation.
- Benefits: Competitive salary of £300k plus strong bonuses, onsite work, and career growth.
- Other info: Exciting opportunities across various asset classes and a culture of scientific rigour.
- Why this job: Make a real impact by driving high-impact alpha initiatives and leading a talented team.
- Qualifications: Master's or PhD in a quantitative field with 5+ years of relevant experience.
We're working with the European Systematic Equities team of a leading global proprietary trading firm to find a Lead Alpha Researcher to help scale their alpha generation, predictive modelling and machine learning capabilities globally. This is a senior, hands-on research and leadership role. You'll lead a key part of the European alpha research team, managing and developing researchers while driving a portfolio of high-impact alpha initiatives from idea generation through to production deployment.
Working closely with traders, researchers and developers across the business, you'll help set the research agenda, establish best practices in validation and methodology, and build a culture of scientific rigour and continuous improvement.
What you'll be doing:
- Leading research, development and deployment of alpha signals and predictive models
- Managing and growing a core part of the European alpha research team
- Helping define and prioritise the alpha research agenda
- Delivering measurable improvements to production trading performance
- Setting standards for research methodology, validation and reproducibility
- Driving the development of scalable research tools and modelling frameworks
What we're looking for:
- Master's or PhD in Machine Learning, Statistics, Mathematics, Computer Science, Engineering, Physics or a related quantitative discipline
- 5+ years developing systematic, intraday horizon trading strategies, predictive models and alpha signals
- A demonstrated track record of generating profitable, orthogonal signals in production
- Experience managing, mentoring or leading researchers
- Strong practical ML experience, with a clear understanding of overfitting and robust validation
- Strong Python skills
If you're an experienced alpha researcher looking to step into a leadership role at scale, we'd like to hear from you.
In addition to the role above, we have roles of varying levels of seniority across a wide range of asset classes, at leading hedge funds, prop trading firms, and investment banks.
Lead Alpha Researcher in London employer: eFinancialCareers
Quilter plc is an exceptional employer, offering a dynamic work environment in Southampton where innovation and collaboration thrive. With a strong commitment to employee growth, comprehensive benefits including a generous holiday allowance and a non-contributory pension scheme, Quilter fosters a culture of inclusivity and continuous improvement, empowering employees to make meaningful contributions to the financial futures of their clients and communities.
StudySmarter Expert Advice🤫
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We think you need these skills to ace Lead Alpha Researcher in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at eFinancialCareers. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
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✨Brush Up on Your Statistics
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
