Private Equity Associate – Consumer & Leisure

This is a fully remote position, open to applicants in France.

📋 Description

• Develop a functional financial model for a designated consumer/leisure transaction using a synthetic deal document package.

• Provide an editable Excel workbook that includes live formulas, source references, and clearly stated assumptions.

• Conduct peer reviews of two anonymized models created by other contractors based on established criteria.

• Write a brief rationale for each peer review conducted.

• Complete a review scorecard as part of the evaluation process.

• Engage in projects aimed at training and improving AI systems.

⛳️ Requirements

• 2–4 years of overall experience.

• Approximately 2 years of investment banking experience in Consumer/Retail or generalist M&A.

• 1–2 years of experience in mid-market or large-cap private equity.

• Currently or recently held the position of Associate at a mid-market or large-cap PE fund.

• Preference for candidates with a focus on consumer/leisure/multi-site services, including fitness clubs, owned vs. franchise operations, or multi-site roll-ups.

• Experience in the Paris office or involvement in French deals is preferred.

• Capability to construct a financial model from source documents without relying on a template.

• Proficient in English.

• Availability for approximately 20–25 hours over a period of 1.5–2 weeks.

• Must be able to operate as an independent contractor.

• H1-B or STEM OPT candidates will not be supported.

🏝️ Benefits

• Fully remote position that allows for a flexible work schedule.

• Weekly payments through Stripe or Wise based on services rendered.

• Project timelines can be adjusted—extended, shortened, or concluded early based on requirements and performance.

• Reasonable accommodations will be provided upon request.

• Competitive compensation offered.

• Opportunity to collaborate with leading researchers in the field.

• Contribute to the development of the next generation of AI systems.

• Earn up to $560 for each successful referral made through the referral link, subject to certain limits.