Investment Banking Associate, AI Residency (Part-time) | Applied AI x Corporate Finance
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 deal experience to a structured research project, which will be used to help improve AI reasoning across investment banking and capital markets. The work involves generating, refining, and evaluating content that reflects how senior IB professionals think through transactions from origination and pitching through execution and close.
What we're looking for:
3–7 years of experience in investment banking or capital markets 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)
Associate, VP, or Director level across M&A, industry coverage, ECM/DCM, leverage finance, or syndicate
Deep expertise in at least one of: M&A deal structuring and valuation, equity or debt capital markets execution, sector-specific coverage, or syndicate/book-running
Strong financial modeling skills (incl. LBO, 3-statement, DCF) and comfort with complex transaction analysis, fairness opinions, and client-facing materials (incl. pitch decks, market updates)
Ability to articulate investment banking 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
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 deal experience to a structured research project, which will be used to help improve AI reasoning across investment banking and capital markets. The work involves generating, refining, and evaluating content that reflects how senior IB professionals think through transactions from origination and pitching through execution and close.
What we're looking for:
3–7 years of experience in investment banking or capital markets 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)
Associate, VP, or Director level across M&A, industry coverage, ECM/DCM, leverage finance, or syndicate
Deep expertise in at least one of: M&A deal structuring and valuation, equity or debt capital markets execution, sector-specific coverage, or syndicate/book-running
Strong financial modeling skills (incl. LBO, 3-statement, DCF) and comfort with complex transaction analysis, fairness opinions, and client-facing materials (incl. pitch decks, market updates)
Ability to articulate investment banking 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