At a Glance
- Tasks: Lead the integration of advanced ML models into investment strategies.
- Company: Elite systematic hedge fund with a focus on innovation.
- Benefits: Competitive salary up to £1m, hybrid work, and growth opportunities.
- Other info: Collaborative team environment with a focus on research and development.
- Why this job: Make a significant impact in finance using cutting-edge machine learning techniques.
- Qualifications: PhD in relevant field and proven ML experience in high-stakes environments.
The predicted salary is between 60000 - 80000 £ per year.
One of our leading Systematic Hedge Fund clients is looking to introduce advanced ML models and techniques into their investment process and is looking for an experienced ML specialist to lead this endeavour. The mandate is significant, with the successful individual being responsible for the application and adoption of ML across all of the firm's strategies and teams. The firm is looking for someone with a solid publication record as well as practical experience using ML in applied settings.
Key Responsibilities:
- Serve as a subject matter expert in machine learning, advising teams across all asset classes.
- Identify and evaluate opportunities to apply ML techniques to optimize trading strategies, portfolio management, and infrastructure.
- Collaborate with quantitative researchers, data scientists, and engineers to design and implement end-to-end ML solutions.
- Develop, test, and deploy production-grade ML models, ensuring their robustness, scalability, and real-world applicability.
- Stay at the forefront of ML research and industry advancements, assessing their potential impact and relevance to systematic trading.
Qualifications:
- PhD in Computer Science, Mathematics, Statistics, or a related field, with a strong publication record.
- Proven experience applying ML techniques in real-world, high-stakes environments (finance, trading, or similarly complex domains preferred).
- Deep understanding of ML algorithms, statistical models, and optimization techniques.
- Proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn) and familiarity with distributed computing.
- Ability to think from first principles and drive projects independently, with an ownership mindset.
- Strong analytical, problem-solving, and critical-thinking skills.
- Experience with large-scale time series data or alternative data sources is a plus.
Salary: Up to £1m TC
WFH: Hybrid but flexible
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Information Technology and Research
Industries: Financial Services and Investment Management
For more information, please get in touch. Successful candidates will receive a response in 24 hours.
Machine Learning Specialist in London employer: DURLSTON PARTNERS
As a leading systematic hedge fund, our firm offers an exceptional work environment in the heart of London or NYC, where innovation and collaboration thrive. We prioritise employee growth through continuous learning opportunities and a culture that encourages the application of cutting-edge machine learning techniques across diverse investment strategies. With a competitive salary package and a flexible hybrid working model, we are committed to fostering a rewarding career for our Machine Learning Specialists.
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