
Compensation
Salary undisclosedDescription
About Aputra
Our founders are ex-Lazard and Partners Group, and we're headquartered in London and San Francisco. Aptura brings real-world expertise from finance into AI model training. We bridge the gap between human and artificial intelligence.
About this role: You'll work directly on improving how Frontier AI handles corporate finance and gain rare, early exposure to how AI labs actually develop their models.
As part of the project, you will contribute your M&A deal experience to a structured research project used to help improve AI reasoning across investment banking and capital markets. The work involves generating, refining, and evaluating content that reflects how senior M&A professionals think through transactions from origination and pitching through execution and close.
What we're looking for:
3–7 years of experience in M&A advisory at a bulge bracket or elite boutique (e.g., Goldman Sachs, Morgan Stanley, J.P. Morgan, Bank of America, Citi, Barclays, UBS, Deutsche Bank, Wells Fargo, Evercore, Moelis, Centerview, Lazard, Jefferies, Rothschild, Houlihan Lokey)
Associate level across M&A advisory, buy-side or sell-side
Deep expertise in M&A deal structuring, valuation, and transaction execution
Strong financial modeling skills (incl. LBO, DCF, trading comps, precedent transactions) and comfort with complex transaction analysis, fairness opinions, and client-facing materials (incl. CIMs, pitch decks, management presentations)
Ability to articulate M&A judgment clearly and precisely in writing
Project Info (Requirements):
Commitment: 20+ hours/week, flexible scheduling
Location: Fully remote
Compensation: Competitive hourly rate, commensurate with experience
Start date: Immediate / Rolling
Referral bonus: For any successful referral hired into this role
How to apply
Apply using the link in the job post
Our team will review the applications and reach back out
One call to assess your fit and align expectations
Once approved, we kick off the project
- Posted
- Unknown
- Last seen
- Jun 29, 2026
- First seen
- Jun 29, 2026