Contract Investment Banker (Generative AI – Finance)

Kensho is S&P Global’s hub for AI innovation and transformation. With expertise in machine learning, natural language processing, and data discovery, we develop and deploy novel solutions to innovate and drive progress at S&P Global and its customers worldwide. Kensho’s solutions and research focus on business and financial generative AI applications, agents, data retrieval APIs, data extraction, and much more.

At Kensho, we hire talented people and give them the autonomy and support needed to build amazing technology and products. We collaborate using our teammates’ diverse perspectives to solve hard problems. Our communication with one another is open, honest, and efficient. We dedicate time and resources to explore new ideas, but always rooted in engineering best practices. As a result, we can innovate rapidly to produce technology that is scalable, robust, and useful.

Role Overview We are seeking experienced Investment Banking professionals to serve as domain experts on a contract basis, contributing to the development of generative AI tools for financial modeling and transaction analysis.

In this role, you will leverage your real-world investment banking experience to help AI systems learn how to perform core banking tasks at a professional standard. You will create, evaluate, and refine transaction-oriented analyses that reflect how bankers actually think about valuation, deal structure, and execution. This is not a live deal or client-facing role; rather, you will help define and encode best-in-class banking workflows for AI systems.

Key Responsibilities

• Produce high-quality investment banking deliverables used to train and evaluate AI systems, including:

• Valuation analyses (DCF, trading comps, precedent transactions)
• M&A and capital markets financial models
• Accretion/dilution and pro forma analyses

• Transaction scenarios and sensitivity analyses

• Build financial models that adhere to industry-standard conventions, structure, and presentation
• Decompose complex transaction logic into clear, step-by-step reasoning that can be learned by AI systems

• Review and assess AI-generated banking outputs for:

• Financial accuracy and internal consistency
• Soundness of assumptions

• Professional formatting and analytical rigor

• Provide detailed feedback to improve model reliability, realism, and edge-case handling
• Collaborate asynchronously with product, research, and engineering teams to refine task definitions and evaluation criteria

Ideal Candidate Profile

• 3-7 years of experience in investment banking, corporate finance, or transaction-focused advisory roles

• Strong technical foundation in:

• Financial modeling and valuation
• M&A and capital markets transactions

• Accounting and financial statement analysis

• Deep familiarity with how banking analyses are structured, reviewed, and presented
• Ability to clearly explain why certain modeling or valuation decisions are made
• High attention to detail and quality standards
• Comfortable working independently in a remote, project-based environment
• Interest in the intersection of finance and artificial intelligence

Nice to Have

• Experience across multiple transaction types (M&A, IPOs, debt offerings, restructurings)
• Exposure to both pitch and execution work
• Prior experience mentoring or reviewing junior analysts’ work
• Curiosity about how automation and AI may augment financial services workflows

At Kensho, we pride ourselves on providing top-of-market benefits, including:

• Medical, Dental, and Vision insurance
• 100% company paid premiums
• Unlimited Paid Time Off
• 26 weeks of 100% paid Parental Leave (paternity and maternity)
• 401(k) plan with 6% employer matching
• Generous company matching on donations to non-profit charities
• Up to $20,000 tuition assistance toward degree programs, plus up to $4,000/year for ongoing professional education such as industry conferences
• Plentiful snacks, drinks, and regularly catered lunches
• Dog-friendly office (CAM office)
• Bike sharing program memberships
• Compassion leave and elder care leave
• Mentoring and additional learning opportunities
• Opportunity to expand professional network and participate in conferences and events

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