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.
Coesione Italia GDL 2021-2027
Cofinanziato dall'Unione Europea
Ministero del Lavoro e delle Politiche Sociali

Il progetto Stage4eu è cofinanziato dal Programma Nazionale Giovani, Donne e Lavoro FSE+ 2021 – 2027 (Piano INAPP 2023-2029)