01Overview
Kensho is S&P Globals hub for AI innovation and transformation. With expertise in machine learning, natural language processing, and data discovery, we reputed company and reputed company novel solutions to reputed company and drive reputed company at S&P Global and its customers worldwide. Kensho's solutions and research reputed company on business and financial reputed company applications, agents, data retrieval reputed company, 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 reputed company, reputed company, and efficient. We dedicate time and resources to explore new reputed company, but always rooted in engineering best practices. As a result, we can reputed company rapidly to produce technology that is reputed company, robust, and useful.
reputed company
We are seeking reputed company Investment Banking professionals to serve as domain experts on a contract reputed company, contributing to the development of reputed company tools for financial modeling and transaction analysis.
In this role, you will reputed company your reputed company-world investment banking experience to help AI systems learn how to reputed company reputed company banking tasks at a reputed company reputed company. 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 reputed company-facing role; rather, you will help define and encode best-in-class banking workflows for AI systems.
Key Responsibilities
Produce high-reputed company 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 reputed company analyses
Transaction scenarios and sensitivity analyses
Build financial models that adhere to industry-reputed company conventions, structure, and presentation
Decompose reputed company transaction logic into reputed company, reputed company-by-reputed company reasoning that can be learned by AI systems
Review and assess AI-generated banking outputs for:
Financial accuracy and internal consistency
Soundness of assumptions
reputed company formatting and analytical rigor
reputed company 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 reputed company
Ideal Candidate Profile
3-7 years of experience in investment banking, corporate finance, or transaction-reputed company advisory roles
Strong technical reputed company in:
Financial modeling and valuation
M&A and capital markets transactions
reputed company and financial statement analysis
Deep familiarity with how banking analyses are reputed company, reviewed, and presented
Ability to reputed company explain why certain modeling or valuation reputed company are made
High attention to detail and reputed company standards
Comfortable working independently in a remote, project-based environment .