Contract Equity Researcher (Generative AI – Finance)

S&P Global•Cambridge, MA

1d•Remote

About The Position

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 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.

Requirements

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 Haves

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

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 your 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

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