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- Tasks: Lead the integration of advanced ML models into investment strategies.
- Company: Elite systematic hedge fund with a focus on innovation.
- Benefits: Up to £1m salary, hybrid work, and cutting-edge projects.
- Why this job: Make a significant impact in finance using your ML expertise.
- Qualifications: PhD in relevant field and proven ML application experience.
- Other info: Join a dynamic team with opportunities for growth and learning.
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.
- 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
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. james@durlstonpartners.com
Machine Learning Specialist in London employer: Durlston Partners
Contact Detail:
Durlston Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Specialist in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the finance and tech sectors. Attend meetups, webinars, or conferences related to machine learning and finance. You never know who might have a lead on that perfect job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML projects, especially those relevant to finance. Share your work on platforms like GitHub or even your own website. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your past experiences with ML in high-stakes environments. Practice common interview questions and scenarios to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you. Tailor your application to highlight your experience with ML in finance, and make sure to follow up after applying to show your enthusiasm.
We think you need these skills to ace Machine Learning Specialist in London
Some tips for your application 🫡
Show Off Your Expertise: Make sure to highlight your experience in machine learning and any relevant publications. We want to see how you've applied ML techniques in real-world scenarios, especially in finance or trading.
Tailor Your Application: Don’t just send a generic CV and cover letter. We’re looking for candidates who can demonstrate their understanding of our specific needs. Customise your application to reflect how your skills align with the role of a Machine Learning Specialist.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity over jargon. Make sure your achievements and experiences are easy to read and understand, so we can quickly see why you’d be a great fit.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team.
How to prepare for a job interview at Durlston Partners
✨Know Your ML Stuff
Make sure you brush up on the latest machine learning algorithms and techniques. Be ready to discuss your past projects in detail, especially those that had a real impact in finance or trading. This is your chance to show off your expertise!
✨Showcase Collaboration Skills
Since you'll be working with various teams, highlight your experience collaborating with quantitative researchers and data scientists. Prepare examples of how you've successfully worked in cross-functional teams to implement ML solutions.
✨Demonstrate Problem-Solving Prowess
Be prepared to tackle some technical problems during the interview. Think through your approach to solving complex issues and be ready to explain your thought process clearly. They want to see how you think from first principles!
✨Stay Current with Industry Trends
Keep yourself updated on the latest advancements in machine learning and their applications in finance. Bring up any recent research or trends that excite you and discuss how they could be relevant to the firm's strategies.
