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- Tasks: Build AI-driven investment tools and forecast private equity performance.
- Company: Join a forward-thinking investment firm focused on innovation.
- Benefits: Competitive salary, bonus scheme, private medical insurance, and pension.
- Other info: Dynamic role with opportunities for growth and innovation in private equity.
- Why this job: Make a real impact in investing with cutting-edge data science and AI.
- Qualifications: 2-6 years in data science, strong Python and SQL skills required.
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
You will 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) in London employer: Coller Capital
Contact Detail:
Coller Capital Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Associate, Data Science (N0127) in London
✨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 for you.
✨Tip Number 2
Prepare for interviews by practising common questions and showcasing your skills. We recommend doing mock interviews with friends or using online platforms to get comfortable with the process.
✨Tip Number 3
Showcase your projects! Whether it’s through a portfolio or GitHub, let your work speak for itself. We love seeing real examples of your data science skills in action.
✨Tip Number 4
Apply directly through our website! It’s the best way to ensure your application gets seen. Plus, we’re always looking for passionate candidates who are eager to innovate in the field.
We think you need these skills to ace Associate, Data Science (N0127) in London
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 worked on. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and investing. Share specific examples of how you've used AI tools or tackled messy datasets in the past. Let us know why you’re the perfect fit for our team!
Showcase Your Projects: If you've built any models or tools, don’t hesitate to mention them! Include links to your GitHub or any relevant portfolios. We love seeing practical applications of your skills, especially those that improve investment workflows.
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 get all the updates. Plus, it shows you're keen on joining our team at StudySmarter!
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 these tools in past projects and how they improved workflows or decision-making.
✨Communicate Clearly
You’ll need to turn technical jargon into clear insights for investors. Practice explaining complex concepts in simple terms, as this will demonstrate your ability to communicate effectively with non-technical stakeholders.
✨Be a Self-Starter
Highlight your innovative mindset and self-starter attitude. Prepare examples of how you've taken initiative in previous roles, especially in situations where you had to work with messy datasets or develop new tools from scratch.