
Private Equity Associate β Consumer & Leisure
Posted 1 day ago

Posted 1 day ago
This is a fully remote position, open to applicants in France.
β’ Develop a functional financial model for a designated consumer/leisure transaction utilizing a synthetic deal document package.
β’ Provide an editable Excel workbook that includes live formulas, source references, and clearly stated assumptions.
β’ Conduct a peer review of two anonymized models from fellow contractors using established criteria.
β’ Offer a brief written justification for each peer review and complete a review scorecard.
β’ Allocate approximately 20β25 hours of work over a span of 1.5β2 weeks.
β’ Engage in projects aimed at training and improving AI systems.
β’ 2β4 years of overall experience.
β’ Around 2 years of investment banking experience in Consumer/Retail or generalist M&A, preferably in Paris, London, or other European locations.
β’ 1β2 years of experience in mid-market or large-cap private equity.
β’ Currently or recently holding an Associate position at a mid-market or large-cap private equity fund.
β’ Familiarity with a consumer/leisure/multi-site services focus, including fitness clubs, owned vs. franchise operations, or multi-site roll-ups.
β’ Preference for candidates with Paris office or French deal experience.
β’ Capability to construct a financial model from source documents without relying on a template.
β’ Proficient in English.
β’ Must be able to work as an independent contractor.
β’ H-1B and STEM OPT candidates are not eligible.
β’ Fully remote position that allows for flexible scheduling.
β’ Weekly payments processed via Stripe or Wise based on services completed.
β’ Project durations may be extended, shortened, or concluded early based on needs and performance.
β’ Reasonable accommodations available upon request.
β’ Competitive salary.
β’ Opportunity to collaborate with leading researchers.
β’ Chance to contribute to the development of next-generation AI systems.
β’ Referral bonuses of up to $560 for each successful referral, subject to limits.
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