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- Tasks: Build AI-driven investment tools and models for private equity performance.
- Company: Join a forward-thinking firm focused on innovation in investment.
- Benefits: Competitive salary, bonus scheme, private medical insurance, and pension.
- Why this job: Make a real impact by improving investment decisions with cutting-edge AI.
- Qualifications: 2-6 years in data science, strong Python and SQL skills required.
- Other info: Hands-on role with excellent growth opportunities in a dynamic environment.
The predicted salary is between 50000 - 70000 £ per year.
We are hiring an Associate, Data Science to help build the next generation of quantitative and AI-driven investment tools for private equity secondaries.
Role purpose
- Work within the investment team to build models to forecast private equity performance and take them to production.
- Support underwriting and portfolio decisions as a secondary investor.
- Develop practical AI tools that improve investment workflows.
- Champion the use of modern AI tools and AI best practice across the team.
Key responsibilities
- Build quantitative, statistical and machine learning models for PE fund and asset forecasting.
- Analyse proprietary and external datasets to generate investment insights.
- Support live deal evaluation with data-driven analysis.
- Develop AI-enabled tools for research, diligence, memo drafting and workflow automation.
- Use the latest AI coding tools to accelerate development and improve code quality.
- Partner with investors, engineers and data teams to productionise tools and models.
- Help define best practice for AI use within the investment team.
Candidate profile
- 2–6 years’ experience in data science, quantitative research or machine learning.
- Strong Python, SQL and statistical modelling skills.
- Self-starter, innovative, strong communicator.
- Experience working with messy, real-world datasets.
- Ability to turn technical work into clear commercial insight.
- Strong interest in investing and private markets.
- Comfortable using modern AI development tools in day-to-day work.
Preferred
- Experience with AI tools, and particularly AI coding tools.
- Experience with forecasting, portfolio analytics or investment decision tools.
- Experience building AI/LLM-based workflows.
Why this role
This is a hands-on role at the intersection of investing, data science and AI. The successful candidate will help improve investment decisions and lead adoption of AI across the team. This aligns with Coller’s emphasis on innovation in secondaries.
Benefits
In addition to a competitive salary and bonus scheme, we offer private medical insurance and an attractive pension. Please let us know if we can make any reasonable adjustments at interview in order to fully support and promote your talent.
Associate, Data Science (N0127) employer: Coller Capital
Contact Detail:
Coller Capital Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Associate, Data Science (N0127)
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. We can’t stress enough how personal connections can open doors that applications alone can’t.
✨Tip Number 2
Prepare for those interviews! Research the company and practice common questions. We recommend using your knowledge of AI and data science to showcase how you can contribute to their investment tools.
✨Tip Number 3
Show off your skills! If you’ve built any models or tools, bring them up in conversations. We love seeing practical examples of your work, especially if they relate to private equity or AI.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always looking for innovative thinkers who are ready to dive into the world of data science and investing.
We think you need these skills to ace Associate, Data Science (N0127)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Associate, Data Science. Highlight your experience with Python, SQL, and any machine learning projects you've tackled. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data science and investing, and explain how you can contribute to building AI-driven investment tools. Let us know why you're excited about this role at StudySmarter.
Showcase Relevant Projects: If you've worked on any projects involving forecasting or AI tools, make sure to mention them! We love seeing real-world applications of your skills, so don’t hold back on sharing your successes and learnings.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. We can't wait to hear from you!
How to prepare for a job interview at Coller Capital
✨Know Your Data Science Stuff
Make sure you brush up on your Python, SQL, and statistical modelling skills. Be ready to discuss specific projects where you've built models or analysed datasets, as this will show your hands-on experience and understanding of the role.
✨Show Off Your AI Knowledge
Since the role involves developing AI tools, be prepared to talk about any AI coding tools you've used. Share examples of how you've implemented AI in past projects and how it improved workflows or decision-making.
✨Communicate Clearly
You’ll need to turn complex technical work into clear insights for investors. Practice explaining your past projects in simple terms, focusing on the impact they had on investment decisions. This will demonstrate your ability to bridge the gap between data science and business.
✨Be a Team Player
Collaboration is key in this role. Think of examples where you've partnered with engineers or other teams to bring a project to life. Highlight your communication skills and how you championed best practices in your previous roles.