Quantitative Researcher, Systematic Equities, Machine Learning
Quantitative Researcher, Systematic Equities, Machine Learning
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Job Description
Job Title:Quantitative Researcher Machine Learning & Systematic Equities
Location:London
About the Role
A leadingglobal hedge fundis seeking aQuantitative Researcherwith strongmachine learning expertiseto join a high-performingsystematic equities teamin London. This role offers the opportunity to work in acollaborative entrepreneurial environment developing cutting-edge alpha signals and trading strategies using advanced statistical and ML techniques.
Key Responsibilities
- Conductalpha researchfor systematic equity strategies includingidea generation data analysis and model development.
- Applymachine learning statistical learning and econometric techniquesto extract predictive signals from large diverse datasets.
- Design implement and backtestPython-based ML modelsfor systematic trading strategies.
- Develop and maintainscalable modular codewithin a shared research infrastructure.
- Collaborate closely with theSenior Portfolio Manager (SPM)and investment team to integrate research into live trading.
Required Qualifications & Skills
- Advanced degree (MSc/PhD)in a quantitative field ( Science Statistics Applied Math Physics or related discipline) from a top-tier institution.
- 2 years of experienceinquantitative equity research with a focus onmachine learning-driven alpha signals.
- Strong Python programming skills including experience withML libraries (e.g. TensorFlow PyTorch scikit-learn)and large-scale data analysis.
- Proven ability to work withfundamental event-driven and alternative datasets.
- Excellent analytical problem-solving and communication skills.
Highly Desirable Experience
- Background instatistical arbitrage factor investing or high-frequency equity strategies.
- Experience developingML-based alphas(supervised/unsupervised learning NLP reinforcement learning etc.).
- Strongfinancial intuitionand ability to translate market insights into robust trading signals.
Why Apply
- Work within atop-tier hedge fundwith a strong track record in systematic investing.
- Fast-paced intellectually stimulating environmentwith significant growth potential.
- Opportunity to contribute to ahigh-impact research-driven trading strategy.
Start Date:Immediate (flexible for the right candidate).
If you are aquantitative researcher with ML expertiselooking to advance your career in systematic equities we encourage you to apply or email
Employment Type
Full Time
