At a Glance
- Tasks: Lead the integration of advanced ML models into investment strategies.
- Company: Join a top-tier systematic hedge fund in London/NYC.
- Benefits: Enjoy a hybrid work model with flexible hours and competitive salary up to £1m.
- Other info: Candidates will receive feedback within 24 hours; reach out to james@durlstonpartners.com.
- Why this job: Be at the forefront of ML innovation in finance, impacting real-world trading strategies.
- Qualifications: PhD in a relevant field with proven ML experience in high-stakes environments required.
The predicted salary is between 72000 - 120000 £ per year.
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. james@durlstonpartners.com
#J-18808-Ljbffr
Machine Learning Specialist employer: Durlston Partners
Join a dynamic and innovative FinTech company that is redefining cross-border payments with a fully remote work culture that promotes flexibility and autonomy. With competitive compensation, including equity options, and a strong focus on employee growth, you'll have the opportunity to make a significant impact while collaborating with a globally distributed team. This role offers a unique chance to take ownership of product development in a high-growth environment, ensuring your contributions are both meaningful and rewarding.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Specialist
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Durlston Partners!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Machine Learning Specialist at Durlston Partners.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Durlston Partners.
✨Apply Directly through Our Website
When you find a suitable opening like Machine Learning Specialist at Durlston Partners, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Machine Learning Specialist
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Durlston Partners, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Durlston Partners. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Durlston Partners
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Durlston Partners!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
