Kensho

Role Description 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 Qualifications - 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 Benefits - 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 Company Description 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.

Role Description We are seeking experienced Equity Research professionals to work as domain experts on a contract basis, helping us design, test, and improve generative AI tools for financial analysis. In this role, you will contribute your real-world expertise in equity research to shape AI systems that can reason about companies, industries, financial statements, and valuation frameworks at a professional level. This is not a traditional coverage or client-facing role; instead, you will act as a subject-matter expert whose work informs how AI systems learn to perform equity research tasks. This will be a flexible, largely remote arrangement. Key Responsibilities - Produce high-quality equity research outputs used to train and evaluate AI systems, including: - Company and sector analyses - Earnings forecasts and scenario analysis - Valuation models (DCF, trading comps, precedent transactions) - Investment theses with clearly articulated risks and catalysts - Build and review financial models that reflect industry best practices and sound analytical judgment - Break down your analytical process into clear, structured reasoning that can be understood and learned by AI systems - Answer questions about your process and analytical thinking as you produce research outputs - Evaluate AI-generated research outputs for: - Financial accuracy - Logical consistency - Professional tone and structure - Data Completeness - Provide feedback that helps improve model performance, robustness, and realism - Collaborate asynchronously with research, product, and engineering teams to refine workflows and expectations Qualifications - 3-7 years of experience in equity research, asset management, hedge funds, or related investment roles - Strong command of: - Financial statement analysis - Forecasting and valuation methodologies - Industry and company-level research frameworks - Ability to clearly articulate investment logic, assumptions, and trade-offs - High standards for analytical rigor, accuracy, and presentation - Comfortable working independently in a remote, project-based environment - Interest in the intersection of finance and AI and how expert judgment can be translated into intelligent systems Nice to Have - Experience writing published equity research or internal investment memos - Exposure to multiple sectors or global markets - Familiarity with how investors consume and act on research - Curiosity about model behavior, edge cases, and failure modes in analytical reasoning - Experience working with generative AI, and have perspective on what is and is not useful Benefits - 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