Full-Time

Investment Banker

Generative AI, Finance

Posted on 5/9/2026

Kensho

Kensho

51-200 employees

AI and ML for financial analytics

No salary listed

Remote in USA + 2 more

More locations: Cambridge, MA, USA | New York, NY, USA

Remote

Category
Finance & Banking (1)
Required Skills
Investment Banking
Financial Modeling
Requirements
  • 3-7 years of experience in investment banking, corporate finance, or transaction-focused advisory roles
  • Strong technical foundation in financial modeling and valuation
  • Strong 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
Responsibilities
  • Produce high-quality investment banking deliverables used to train and evaluate AI systems, including: Valuation analyses (DCF, trading comps, precedent transactions); Mergers and Acquisitions 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
Desired Qualifications
  • Experience across multiple transaction types (Mergers and Acquisitions, Initial Public Offerings, 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

Kensho applies artificial intelligence and machine learning to finance and business data. Its tools analyze unstructured data, transcribe and structure audio and text, and provide analytics to reveal insights. A core offering is an LLM-ready API that lets users query S&P Global datasets using natural language and integrate with AI models like GPT and Claude. The platform combines scalable machine intelligence with data enrichment to transform enterprise information for knowledge workers, whether in government or commercial institutions. Kensho differentiates itself by using its data assets from S&P Global, a focus on financial and enterprise analytics, and a scalable API that enables natural-language querying over large datasets and structured outputs. Its goal is to help clients make data-driven decisions by turning complex data into accessible, actionable insights.

Company Size

51-200

Company Stage

Acquired

Total Funding

$567.5M

Headquarters

Cambridge, Massachusetts

Founded

2013

Simplify Jobs

Simplify's Take

What believers are saying

  • LLM-ready API with MCP server support and Claude connector expands enterprise AI integration.
  • Kensho Link's BECRS integration simplifies entity mapping for financial data standardization workflows.
  • Kensho Scribe AI enhancements improve transcription precision for complex financial audio analysis.

What critics are saying

  • OpenAI's o1 model outperforms SP AI Benchmarks leaders in quantitative reasoning and extraction.
  • Google Vertex AI Document AI v2.5 achieves 30% higher accuracy in entity resolution.
  • Anthropic's Claude 4 with native S&P connectors bypasses Kensho's LLM-ready API entirely.

What makes Kensho unique

  • S&P Global's proprietary financial datasets integrated with advanced NLP and ML capabilities.
  • SP AI Benchmarks leaderboard evaluates LLMs on domain-specific financial and quantitative tasks.
  • Kensho Classify requires only 30 data points and 3 minutes to learn new concepts.

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Benefits

Health - 100% employer-paid insurance that covers you and your family... and more

Wellness - 26 weeks paid parental leave, flexible work hours... and more

Growth - 6% 401K match, 20K tuition reimbursement, Knowledge Days... and more

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