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For Companies At a Glance
- Tasks: Originate and analyse datasets, build predictive models, and deliver insights for investment decisions.
- Company: Newly launched hedge fund specialising in global Industrials sector.
- Benefits: Competitive salary, collaborative environment, and opportunity to shape data science capabilities.
- Why this job: Make an immediate impact on investment strategies and work with a talented team.
- Qualifications: Strong Python and SQL skills, experience in advanced analytics or ML, and a quantitative background.
- Other info: Dynamic role with opportunities for growth as the firm expands.
The predicted salary is between 43200 - 72000 £ per year.
A newly launched long/short hedge fund specialising in the global Industrials sector is seeking a Data Scientist to help shape its data-driven investment strategy. The firm combines fundamental research with advanced data science, building scalable infrastructure where insights directly influence portfolio performance.
The Data Scientist will originate and analyse novel datasets, build predictive models, and deliver insights that drive investment decisions. The position involves working closely with investors and engineers to forecast key company KPIs, design real-time dashboards, and develop best-in-class data infrastructure.
Key Requirements
- Strong Python (pandas, NumPy, scikit-learn; PyTorch/TensorFlow a plus) and SQL skills
- Experience applying advanced analytics or ML to real-world data (finance, fintech, or forecasting contexts ideal)
- Proficiency with BI tools (Tableau or similar)
- 2–6 years' relevant experience and a strong quantitative background
- Ability to source and structure new datasets and collaborate across disciplines
Opportunity
This role offers the chance to make an immediate impact on investment decisions, collaborate with an experienced investment and technology team, and push the boundaries of data-driven investing. As the firm grows, the Data Scientist will have the opportunity to shape and expand its data science capability.
Data Scientist - Hedge Fund (New-Launch) - Radley James in London employer: Jobster
Contact Detail:
Jobster Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - Hedge Fund (New-Launch) - Radley James in London
✨Tip Number 1
Network like a pro! Reach out to people in the hedge fund and data science space on LinkedIn. Join relevant groups and participate in discussions to get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, SQL, and machine learning. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the hedge fund landscape. Be ready to discuss how your data-driven insights can impact investment decisions.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step.
We think you need these skills to ace Data Scientist - Hedge Fund (New-Launch) - Radley James in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Scientist role. Highlight your Python and SQL skills, and any experience with advanced analytics or machine learning. We want to see how your background aligns with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're excited about this hedge fund opportunity and how you can contribute to shaping our data-driven investment strategy. Let us know what makes you tick!
Showcase Relevant Projects: If you've worked on projects that involved predictive modelling or real-time dashboards, make sure to showcase them. We love seeing practical applications of your skills, especially in finance or fintech contexts!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Jobster
✨Know Your Data Science Tools
Make sure you're well-versed in Python, SQL, and any BI tools like Tableau. Brush up on your knowledge of libraries such as pandas, NumPy, and scikit-learn. Be ready to discuss how you've used these tools in real-world scenarios, especially in finance or forecasting.
✨Showcase Your Analytical Skills
Prepare to talk about specific projects where you applied advanced analytics or machine learning. Highlight how your insights influenced decision-making and the impact they had on outcomes. Use concrete examples to demonstrate your quantitative background.
✨Understand the Hedge Fund Landscape
Familiarise yourself with the hedge fund industry, particularly in the Industrials sector. Research current trends and challenges that hedge funds face. This will help you articulate how your skills can contribute to shaping their data-driven investment strategy.
✨Collaborate and Communicate
Since the role involves working closely with investors and engineers, practice explaining complex data concepts in simple terms. Be prepared to discuss how you would collaborate across disciplines to source and structure new datasets effectively.
