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- Tasks: Build cash-flow forecasting models and develop dashboards for investment professionals.
- Company: Global private markets investment firm with a high-visibility role.
- Benefits: Competitive salary, hybrid working model, and discretionary bonus.
- Why this job: Join a dynamic team and make impactful decisions in private markets.
- Qualifications: Strong skills in Python and SQL, with experience in actionable insights.
- Other info: Exciting opportunity for career growth in a collaborative environment.
The predicted salary is between 85000 - 110000 £ per year.
A global private markets investment firm is seeking a Data Scientist for a high-visibility role within its investment team. This position involves building cash-flow forecasting models, supporting analytics for due diligence, and developing dashboards for investment professionals.
The ideal candidate will possess strong skills in Python and SQL, and should have experience in translating complex analysis into actionable insights.
The firm offers a hybrid working model and competitive compensation, including a base salary of £85k–110k with a discretionary bonus.
Senior Front-Office Data Scientist, Private Markets (Hybrid) in London employer: Jobster
Contact Detail:
Jobster Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Front-Office Data Scientist, Private Markets (Hybrid) in London
✨Tip Number 1
Network like a pro! Reach out to current employees at the firm on LinkedIn and ask about their experiences. A friendly chat can give us insights into the company culture and might even lead to a referral.
✨Tip Number 2
Prepare for the interview by brushing up on your Python and SQL skills. We recommend working on some real-world projects or case studies that showcase your ability to build cash-flow forecasting models and develop dashboards.
✨Tip Number 3
Practice translating complex analysis into actionable insights. We suggest doing mock interviews with friends or using online platforms to refine how you present your findings clearly and concisely.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have tips and resources available exclusively for applicants.
We think you need these skills to ace Senior Front-Office Data Scientist, Private Markets (Hybrid) in London
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 can use these tools to build those cash-flow forecasting models and support analytics for due diligence.
Be Clear and Concise: When translating complex analysis into actionable insights, clarity is key. Use straightforward language and avoid jargon where possible. We appreciate a well-structured application that gets straight to the point!
Tailor Your Application: Don’t just send a generic application! Tailor your CV and cover letter to reflect the specific requirements of the Senior Front-Office Data Scientist role. Show us why you’re the perfect fit for our investment team.
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 Stuff
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects where you've built cash-flow forecasting models or developed dashboards. They’ll want to see how you can translate complex data into actionable insights, so have some examples ready!
✨Understand the Private Markets
Familiarise yourself with the private markets investment landscape. Research recent trends and challenges in this area, as well as the firm’s specific focus. This will show that you’re genuinely interested in the role and understand the context in which you’ll be working.
✨Prepare for Technical Questions
Expect technical questions that test your analytical thinking and problem-solving skills. Practice explaining your thought process clearly and concisely. You might even want to do a mock interview with a friend to get comfortable articulating your approach to data analysis.
✨Showcase Your Communication Skills
Since you'll be working closely with investment professionals, it’s crucial to demonstrate your ability to communicate complex analyses effectively. Prepare to discuss how you’ve successfully collaborated with non-technical stakeholders in the past, and be ready to explain your findings in simple terms.
