Aptura

Role Description In this 3-month Internship, you will contribute your previous deal experience which will be used to help improve AI reasoning across investment banking workflows. The work involves generating, refining, and evaluating content that reflects how IB professionals think through transactions from origination and pitching through execution and close. - Draft realistic IB scenarios, prompts, and worked examples (pitch decks, comps, LBO models, CIMs, deal memos) that reflect real transaction workflows. - Evaluate AI-generated outputs against how a skilled analyst or associate would actually reason, flagging gaps in logic, technical rigour, or judgment. - Refine and rewrite model responses to improve their financial reasoning and structuring. - Partner closely with experts to translate domain expertise into training signal, giving feedback on what "good" looks like at each stage of a deal. - Identify edge cases and failure modes specific to IB workflows (e.g., sector-specific modelling conventions, regulatory nuance, negotiation dynamics). - Help document and systematise IB best practices into reusable frameworks model can learn from. Qualifications - Current student or recent graduate with a minimum of one IB internship or full-time role 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). - Solid grounding in financial modelling, valuation methodologies (DCF, comps, precedent transactions), and deal mechanics. - High attention to detail and intellectual honesty to say "this output is wrong" even when it looks polished. - Sharp communication skills, able to explain why a piece of reasoning is right or wrong. - Comfortable with ambiguity and fast iteration. - Genuine curiosity about AI, even without a technical background. Benefits - Competitive salaries with an opportunity to join us full-time. - Modern, centrally located London office built for collaboration and focus. - Access to a range of AI tools to boost productivity and maximise results. - Tech, screens, and any equipment you need to perform at a high level. Logistics - Location: In-person (remote options available). - Start date: Immediate. - Referral bonus: For any successful referral hired into this role.

Role Description 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. Qualifications - Current MBA candidate at IE with prior (pre-MBA) 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). - Analyst or Associate level (pre-MBA). - Solid expertise in at least one of the following: - M&A deal structuring and valuation - Equity or debt capital markets execution - Sector-specific coverage - 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. Requirements - Location: Fully remote - Compensation: Competitive hourly rate, commensurate with experience - Start date: Immediate - Referral bonus: For any successful referral hired into this role

Role Description 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. Qualifications - 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. 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.

Role Description 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 corporate finance advisory 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 corporate finance professionals think through transactions, including M&A, fundraising, and strategic advisory mandates. Qualifications - 3–7 years of experience in corporate finance advisory at a recognized institution (Big 4 Corporate Finance, mid-market advisory, or boutique IB) - Associate level with live deal execution experience across M&A, fundraising, or capital raising mandates - Strong financial modeling skills (incl. DCF, LBO, comps) and comfort with CIMs, investor materials, and valuation analyses - Ability to articulate corporate finance judgment clearly and precisely in writing 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

Role Description 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. Qualifications - 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. 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.

Role Description 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 private equity deal execution 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 PE professionals think through LBO transactions, valuation, and deal execution from origination through close. Qualifications - 3–7 years of experience in private equity at a recognized fund with genuine deal execution responsibility. - Associate level with hands-on LBO modeling, IC materials, and closed transaction experience. - Deep expertise in deal structuring, leveraged buyout analysis, and value creation planning. - Strong financial modeling skills (incl. LBO, DCF, returns analysis) and comfort with IC memos, investment theses, and deal documentation. - Ability to articulate private equity and transaction judgment clearly and precisely in writing. 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.

Role Description 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 advisory 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 M&A professionals think through deals from pitching through execution and close. Qualifications - 3–7 years of experience in M&A advisory at a recognized advisory firm (bulge bracket, elite boutique, or top-tier Big 4 Corporate Finance) - Associate level with hands-on deal execution experience - Deep expertise in buy-side and sell-side M&A, valuation, and due diligence coordination - Strong financial modeling skills (incl. DCF, LBO, trading comps, precedent transactions) and comfort with CIMs, management presentations, and board materials - Ability to articulate M&A judgment clearly and precisely in writing 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

Role Description 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 leveraged finance 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 leveraged finance professionals think through transactions from structuring through execution and close. Qualifications - 3–7 years of experience in leveraged finance at a bulge bracket or elite boutique. - Associate level across LBO financing, acquisition financing, high yield, or leveraged loans. - Deep expertise in leveraged finance structuring, debt capacity analysis, and capital structure optimization. - Strong financial modeling skills (incl. LBO, debt schedules, covenant analysis) and comfort with credit committee materials, lender presentations, and term sheet analysis. - Ability to articulate leveraged finance judgment clearly and precisely in writing. 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.

Role Description 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 FIG 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 FIG professionals think through transactions across banking, insurance, asset management, and fintech. Qualifications - 3–7 years of experience in FIG investment banking at a bulge bracket or elite boutique. - Associate level across FIG M&A, capital raising, or strategic advisory. - Deep expertise in financial institutions sector dynamics, regulatory capital, and FIG-specific valuation methodologies (DDM, P/BV, P/TBV). - Strong financial modeling skills and comfort with FIG-specific transaction analysis, fairness opinions, and client-facing materials. - Ability to articulate FIG investment banking judgment clearly and precisely in writing. 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.

Role Description 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 leveraged finance 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 leveraged finance professionals think through transactions from structuring through execution and close. Qualifications - 3–7 years of experience in leveraged finance at a bulge bracket or elite boutique. - Associate level across LBO financing, acquisition financing, high yield, or leveraged loans. - Deep expertise in leveraged finance structuring, debt capacity analysis, and capital structure optimization. - Strong financial modeling skills (incl. LBO, debt schedules, covenant analysis) and comfort with credit committee materials, lender presentations, and term sheet analysis. - Ability to articulate leveraged finance judgment clearly and precisely in writing. 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.