Machine Learning Specialist

Durlston Partners; Greater London; Hybrid; GBP 900,000 - 1,100,000; Full time

Job summary

An elite systematic hedge fund is seeking a Machine Learning Specialist to spearhead the integration of advanced ML models into their investment strategies. This role is pivotal, as the successful candidate will lead the charge in applying innovative ML techniques across various teams, optimizing trading strategies, and enhancing portfolio management. With a focus on collaboration with quantitative researchers and engineers, you'll design and implement robust ML solutions that drive real-world impact. If you're passionate about machine learning and eager to make a significant contribution in a dynamic financial environment, this opportunity is tailor-made for you.

Qualifications

• Strong publication record in machine learning and applied settings.
• Experience in high-stakes environments like finance or trading.

Responsibilities

• Serve as a subject matter expert in machine learning across asset classes.
• Develop and deploy production-grade ML models for trading strategies.

Skills

Machine Learning

Python

Statistical Models

Problem-Solving

Analytical Skills

Education

PhD in Computer Science

PhD in Mathematics

PhD in Statistics

Tools

TensorFlow

PyTorch

scikit-learn

Job description

Machine Learning Specialist - Elite Systematic shop - London/NYC - Up to £1m

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. [e-mail]