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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 professional growth.
- 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: Opportunity to shape and expand the firm's data science capabilities.
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 industry professionals, join relevant groups, and engage in discussions. You never know who might have a lead on your dream job!
✨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 potential employers a taste of what you can do and how you can contribute to their investment strategies.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills. Be ready to discuss your experience with Python, SQL, and any machine learning techniques you've used. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with both investors and engineers.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Tailor your application to highlight how your skills align with our data-driven investment strategy and show us why you're the perfect fit!
We think you need these skills to ace Data Scientist - Hedge Fund (New-Launch)
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your strong Python and SQL skills in your application. We want to see how you've used these tools in real-world scenarios, especially in finance or forecasting contexts.
Tailor Your Experience: When you’re writing your application, tailor it to reflect your experience with advanced analytics and machine learning. We’re looking for someone who can apply these techniques to drive investment decisions, so make that clear!
Be Data-Driven: Since we’re all about data here, include specific examples of datasets you’ve worked with and the insights you’ve derived from them. This will show us your ability to source and structure new data effectively.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity to shape our data-driven investment strategy.
How to prepare for a job interview at Radley James
✨Know Your Data Science Tools
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss how you've used libraries like pandas, NumPy, and scikit-learn in past projects. If you have experience with PyTorch or TensorFlow, don’t forget to highlight that too!
✨Showcase Real-World Applications
Prepare examples of how you've applied advanced analytics or machine learning in real-world scenarios, especially in finance or forecasting. This will demonstrate your ability to translate data into actionable insights, which is crucial for the role.
✨Familiarise Yourself with BI Tools
Since proficiency with BI tools like Tableau is a requirement, make sure you can discuss your experience with these tools. Bring along any dashboards or visualisations you've created to showcase your skills and understanding of data presentation.
✨Collaborate and Communicate
This role involves working closely with investors and engineers, so be prepared to discuss how you’ve collaborated across disciplines in the past. Highlight your communication skills and how you’ve effectively shared insights with non-technical stakeholders.
