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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 focused on the global Industrials sector.
- Benefits: Competitive salary, collaborative environment, and opportunities for growth.
- Why this job: Make an immediate impact on investment strategies with cutting-edge data science.
- Qualifications: Strong Python and SQL skills, experience in advanced analytics or ML.
- Other info: Collaborate with a skilled team and shape the future of data-driven investing.
The predicted salary is between 36000 - 60000 £ per year.
Job Description
Data Scientist – Hedge Fund (New launch long/short equity)
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 Role
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) employer: Radley James
Contact Detail:
Radley James Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - Hedge Fund (New-Launch)
✨Tip Number 1
Network like a pro! Reach out to people in the hedge fund and data science space. Use LinkedIn to connect with current employees at the firm you're eyeing, and don't be shy about asking for informational chats. It’s all about making those connections!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those related to finance or predictive modelling. This will give you an edge and demonstrate your ability to deliver insights that drive investment decisions.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and SQL skills. Practice coding challenges and be ready to discuss how you've applied advanced analytics in real-world scenarios. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’re always looking for talented individuals who can help shape our data-driven investment strategy. Your next big opportunity could be just a click away!
We think you need these skills to ace Data Scientist - Hedge Fund (New-Launch)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, SQL, and any relevant analytics or ML projects. We want to see how your skills align with our data-driven investment strategy!
Showcase Your Projects: Include specific examples of datasets you've worked with or predictive models you've built. This helps us understand your hands-on experience and how you can contribute to our team.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're excited about this role and how your background fits. We love seeing passion for the Industrials sector and data science!
Apply Through Our Website: For the best chance of getting noticed, make sure to apply directly through our website. It streamlines the process and ensures your application lands in the right hands!
How to prepare for a job interview at Radley James
✨Know Your Data Science Tools
Make sure you brush up on your Python skills, especially with libraries like pandas, NumPy, and scikit-learn. Be ready to discuss how you've applied these tools in real-world scenarios, particularly in finance or forecasting contexts.
✨Showcase Your Analytical Mindset
Prepare examples of how you've used advanced analytics or machine learning to solve complex problems. Think about specific projects where your insights directly influenced outcomes, and be ready to explain your thought process.
✨Familiarise Yourself with BI Tools
If you have experience with BI tools like Tableau, make sure to highlight it. Be prepared to discuss how you've used these tools to create dashboards or visualisations that helped stakeholders understand data better.
✨Collaborate and Communicate
Since this role involves working closely with investors and engineers, think about times when you've successfully collaborated across disciplines. Be ready to share how you communicate complex data insights to non-technical team members.
