Ardian is a world-leading private investment house, managing or advising $160bn of assets on behalf of more than 1,470 clients globally. Our broad expertise, spanning Private Equity, Real Assets and Credit, enables us to offer a wide range of investment opportunities and respond flexibly to our clients’ differing needs. Through Ardian Customized Solutions we create bespoke portfolios that allow institutional clients to specify the precise mix of assets they require and to gain access to funds managed by leading third-party sponsors.
Private Wealth Solutions offers dedicated services and access solutions for private banks, family offices and private institutional investors worldwide. Ardian’s main shareholding group is its employees and we place great emphasis on developing its people and fostering a collaborative culture based on collective intelligence. Our 1,070+ employees, spread across 19 offices in Europe, the Americas, Asia and Middle East are strongly committed to the principles of Responsible Investment and are determined to make finance a force for good in society. Our goal is to deliver excellent investment performance combined with high ethical standards and social responsibility.
At Ardian we invest all of ourselves in building companies that last.
The role
Joining the Secondaries & Primaries team at Ardian, the Data Science Intern will leverage analytical skills to support investment strategies and decision-making processes. This role involves working closely with both the investment team and the IT department, applying data science methodologies to optimize investment models, analyse market trends, and enhance data-driven insights for the Secondaries and Primaries markets.
This internship offers a unique opportunity to immerse yourself in the fast-paced world of private equity, specifically within the innovative Secondaries and Primaries market. You will gain hands-on experience in applying data science techniques to real-world financial problems, contributing directly to the team's success.
Strong performers may receive offers for full-time roles upon completion of their internship.
Key responsibilities
- Collaborate with the investment team to develop and refine data-driven models for investment analysis and portfolio management.
- Conduct statistical analysis and predictive modelling to identify market opportunities and risks within the Secondaries and Primaries domains.
- Support the maintenance and improvement of internal databases, ensuring data accuracy and integrity for analysis purposes.
- Participate in the development and implementation of new data tools and algorithms to enhance investment strategies.
- Engage in cross-functional projects with the IT and data science teams to streamline data processes and infrastructure.
- Depending on the workload and the intern's interests, they may also work on topics related to the fund's more general investment and asset management activities.
Required skills
- Proficiency in Python (including pandas, scikit-learn) and SQL.
- Experience in data visualization tools (e.g., Tableau, PowerBI) is advantageous.
- Interest in the finance and private equity sector, with a desire to understand Secondaries and Primaries market dynamics.
- Strong analytical and problem-solving skills.
- Highly motivated with the ability to work autonomously and in a team environment.
- Excellent communication skills with the ability to present complex technical concepts in a clear and concise manner.
Profile
- At least 2 nd year student, pursuing a degree in Data Science, Statistics, Mathematics, Operations Research, or related field.
- Previous internship or project experience in data science or a related field.
- Fluent in English, with strong written and verbal communication skills.
- Proficiency in Excel and PowerPoint is appreciated, along with any programming experience beyond Python and SQL.
