Tikehau Capital, Internship - Modelling and Performance
- Azienda
- Tikehau Capital
- Sede
- Paris, Francia
- Durata
- 6 mesi. Inizio: gennaio 2027
- Area professionale
-
Economia e finanza Project/Business Management
Attività
Modelling
- Contribute to the modelling of existing funds, from updating assumptions and presenting results to integrating models into internal databases.
- Take part in modelling work for new products.
- Carry out ad hoc analyses, including cash flow projections, performance contribution analyses and sensitivity analyses.
Performance and activity monitoring
- Monitor investment and fund performance, including by producing dashboards featuring key indicators (NAV, IRR, MOIC, DPI, etc.).
- Work with the Finance Department to monitor activity across the Group’s business lines, including fundraising, capital calls, distributions, fund deployment and realisations.
Project management and support for business development
- Contribute to automating and improving internal tools, including through the use of AI and in collaboration with the IT teams.
- Help monitor data quality, ensuring that data is complete and reliable.
- Support the Operations, Investment, and Client Coverage teams in the preparation of materials required for due diligence exercises and other requests from investors and prospective clients.
Requisiti principali
- Final-year student at a leading business school, engineering school, or top-tier university (Master’s degree or equivalent).
- Prior experience (through an internship, apprenticeship, or gap year) in asset management or finance is desirable, ideally within the private assets industry.
- Good understanding of how private asset funds operate, including waterfall distribution mechanisms.
- Proficiency in PowerPoint and Excel, with advanced Excel skills for data management and analysis. Knowledge of VBA is a plus.
- Knowledge of eFront is a plus.
- Comfortable with generative AI tools, particularly prompting techniques. Curious and proactive in exploring practical AI applications and how AI can be integrated into day-to-day tasks. Knowledge of n8n is a plus.
- Strong attention to detail, excellent analytical and synthesis skills, and a strong focus on data quality.
- A team-oriented mindset with the ability to collaborate effectively with a wide range of stakeholders. Ability to communicate and present results clearly, both in writing and verbally.
- Fluency in French and a good command of English, both written and spoken.