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
Recruitment Fraud Alert:
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We are an equal opportunity employer that welcomes future Kenshins with all experiences and perspectives. Kensho is headquartered in Cambridge, MA, with an additional office location in New York City. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.
Job ID: 327770
Posted On: 2026-04-08
Location: New York, New York, United States
Skills Required
- 3-7 years of experience in investment banking, corporate finance, or transaction-focused advisory roles
- Strong technical foundation in financial modeling and valuation
- Deep familiarity with banking analyses structure and presentation
- Ability to explain modeling or valuation decisions
- High attention to detail and quality standards
Kensho Technologies Compensation & Benefits Highlights
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Healthcare Strength — Health coverage is 100% employer-paid for medical, with dental and vision also cited, alongside wellness reimbursement and employee assistance resources. Affiliation with S&P Global is positioned as adding stability and scale to these programs.
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Parental & Family Support — Parental leave is fully paid for 26 weeks with adoption assistance, and offices are dog-friendly with “PAW-rental” leave. These features indicate deep support for varied family needs.
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Leave & Time Off Breadth — Time-off policies include unlimited PTO, a generous holiday schedule, and a fully paid 10‑week sabbatical. A flexibility-first, remote-friendly culture further supports taking time when needed.
Kensho Technologies Insights
What We Do
At Kensho, we leverage S&P Global’s world class data to research, develop and implement leading AI and machine learning capabilities that drive fact-based, objective decision making. Data is at the heart of Kensho, and it’s our technology. We build and deploy solutions that make that data accessible, insightful, relevant and transformative.
Why Work With Us
We are a diverse and inclusive group of curious, highly accomplished engineers and business professionals who value collaboration, curiosity, and mentorship at all levels. At Kensho, swinging for the fences is considered a team sport, and every Kenshin’s unique perspective and experiences are valued.
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Kensho Technologies Offices
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Employees engage in a combination of remote and on-site work.





