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- Tasks: Build predictive models and analyse datasets to drive investment strategies.
- Company: Leading hedge fund in the UK with a focus on data-driven decisions.
- Benefits: Competitive salary, dynamic work environment, and opportunities for growth.
- Why this job: Make an immediate impact in the evolving world of finance and analytics.
- Qualifications: Strong Python and SQL skills with 2–6 years of relevant experience.
The predicted salary is between 36000 - 60000 £ per year.
A leading hedge fund in the United Kingdom seeks a Data Scientist to shape its data-driven investment strategy. The role involves building predictive models, analyzing datasets, and developing dashboards in collaboration with experts.
Candidates should have strong Python and SQL skills, and 2–6 years of experience in finance or analytics. This full-time position offers a chance to make an immediate impact in an evolving investment landscape.
Data Scientist – Hedge Fund: Real-Time Analytics employer: Radley James
Contact Detail:
Radley James Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist – Hedge Fund: Real-Time Analytics
✨Tip Number 1
Network like a pro! Reach out to professionals in the hedge fund space on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your predictive models and dashboards. This is your chance to demonstrate your Python and SQL prowess in a way that really stands out.
✨Tip Number 3
Prepare for those interviews! Brush up on common data science questions and be ready to discuss your past projects. We want you to shine and show how you can make an impact in real-time analytics.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Data Scientist – Hedge Fund: Real-Time Analytics
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your 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 analytics.
Tailor Your Experience: When writing your application, focus on your relevant experience. We’re looking for candidates with 2–6 years in the field, so make sure to showcase projects or roles that align with our needs.
Be Clear and Concise: Keep your application clear and to the point. We appreciate well-structured applications that get straight to the heart of your qualifications and experiences without unnecessary fluff.
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 in shaping our data-driven investment strategy.
How to prepare for a job interview at Radley James
✨Know Your Data Inside Out
Before the interview, dive deep into the datasets you might be working with. Familiarise yourself with common data sources in finance and be ready to discuss how you would approach building predictive models using Python and SQL.
✨Showcase Your Analytical Skills
Prepare to demonstrate your analytical thinking. Bring examples of past projects where you've successfully analysed complex datasets or built dashboards. Be ready to explain your thought process and the impact your work had on decision-making.
✨Brush Up on Financial Knowledge
Since this role is in a hedge fund, having a solid understanding of financial concepts is crucial. Review key terms and trends in the investment landscape, and be prepared to discuss how data science can influence investment strategies.
✨Practice Collaborative Scenarios
Collaboration is key in this role, so think about times you've worked with experts from different fields. Prepare to discuss how you communicate complex data insights to non-technical stakeholders and how you handle feedback to improve your models.
