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 flexible hours.
- Other info: Collaborative team environment with opportunities for professional growth.
- 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.
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 employer: DURLSTON PARTNERS
As a Machine Learning Specialist at our elite systematic hedge fund, you will thrive in a dynamic and innovative environment that champions cutting-edge technology and advanced ML techniques. Our London/NYC locations offer a vibrant work culture that fosters collaboration and creativity, alongside exceptional employee growth opportunities and competitive compensation packages, including the potential for up to £1m. Join us to be at the forefront of financial services, where your expertise will directly influence our investment strategies and drive meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Specialist
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or conferences related to machine learning and finance. You never know who might have a lead on that perfect job or can introduce you to someone at your dream company.
✨Show Off Your Skills
Create a portfolio showcasing your ML projects. Whether it's a GitHub repo or a personal website, make sure to highlight your best work. This is your chance to demonstrate your expertise and practical experience in a way that stands out to potential employers.
✨Ace the Interview
Prepare for technical interviews by brushing up on your ML algorithms and problem-solving skills. Practice coding challenges and be ready to discuss your past projects in detail. Remember, they want to see how you think and approach problems, so be confident!
✨Apply Through Us!
Don’t forget to check out our website for job openings. Applying through us not only gives you access to exclusive roles but also puts you in touch with recruiters who can help you land that Machine Learning Specialist position. Let’s get you that dream job!
We think you need these skills to ace Machine Learning Specialist
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 your machine learning algorithms and techniques. Be ready to discuss your past projects in detail, especially those that had a significant impact in real-world applications. This is your chance to showcase your expertise!
✨Showcase Your Collaboration Skills
Since the role involves working with various teams, be prepared to talk about your experience collaborating with quantitative researchers, data scientists, and engineers. Highlight specific examples where teamwork led to successful ML implementations.
✨Stay Current with Trends
The firm is looking for someone who stays at the forefront of ML research. Make sure you can discuss recent advancements in the field and how they could apply to systematic trading. This shows your passion and commitment to continuous learning.
✨Demonstrate Problem-Solving Abilities
Be ready to tackle some hypothetical scenarios or case studies during the interview. Use these opportunities to demonstrate your analytical and critical-thinking skills, showing how you approach complex problems and develop innovative solutions.
