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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 36000 - 60000 £ 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 SQL/python employer: Radley James
Contact Detail:
Radley James Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist SQL/python
✨Tip Number 1
Network like a pro! Reach out to professionals in the hedge fund and data science space on LinkedIn. Join relevant groups, attend meetups, and don’t be shy about asking for informational interviews. You never know who might have a lead on your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, SQL, and machine learning. Use platforms like GitHub to share your code and visualisations. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the finance sector. Be ready to discuss how your data-driven insights can influence investment decisions. Practice common data science interview questions and case studies to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Tailor your application to highlight your experience with predictive models and BI tools, and let us know how you can contribute to our data-driven investment strategy.
We think you need these skills to ace Data Scientist SQL/python
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your strong Python and SQL skills, as well as any experience with advanced analytics or machine learning. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for our Data Scientist role. Share your passion for data-driven investing and how your experience can help shape our investment strategy. Keep it engaging and personal!
Showcase Your Projects: If you've worked on any interesting datasets or predictive models, make sure to mention them in your application. We love seeing real-world applications of your skills, especially if they relate to finance or forecasting!
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’re considered for the role. Plus, it shows us you’re keen on joining our team!
How to prepare for a job interview at Radley James
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python and SQL, as these are crucial for the role. Brush up on libraries like pandas, NumPy, and scikit-learn, and be ready to discuss how you've applied them in real-world scenarios, especially in finance or forecasting.
✨Showcase Your Analytical Skills
Prepare to talk about specific projects where you’ve used advanced analytics or machine learning. Be ready to explain your thought process, the challenges you faced, and how your insights influenced decisions. Real examples will make you stand out!
✨Familiarise Yourself with BI Tools
Since proficiency with BI tools like Tableau is a key requirement, ensure you can discuss your experience with them. If you have any projects where you’ve created dashboards or visualisations, be prepared to share those details.
✨Demonstrate Collaboration Skills
This role involves working closely with investors and engineers, so highlight your teamwork experiences. Think of examples where you’ve successfully collaborated across disciplines to achieve a common goal, and be ready to discuss how you communicate complex data insights.
