Review AI-generated finance outputs, verify figures and rules against authoritative sources, perform quantitative checks and recomputations, assess financial reasoning, provide structured feedback on model performance, and collaborate with researchers to improve models.
Key Responsibilities
- Review AI-generated outputs across a range of finance topics
- Verify figures and rules against authoritative sources, including quantitative checks
- Assess financial reasoning and provide structured feedback on model performance
- Collaborate with researchers to assess and improve model performance
3. Ideal Qualifications
- U.S.-based finance professional with a recognized credential — CPA, EA, CFP, or CFA (in good standing where applicable)
- 2+ years in a substantive finance role (tax, financial planning, analysis, IB/PE, or advisory)
- Demonstrated ability to verify figures and rules against authoritative sources, including basic quantitative checks
- Strong quantitative verification — able to independently recompute a stated figure
- Comfort checking rules in unfamiliar systems against official sources
Similar Jobs
13 Days Ago
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Handle Private Company and Not-For-Profit D&O and Employment Practices liability claims through full lifecycle: investigate, evaluate coverage, set and review reserves, manage litigation and counsel retention, participate in mediations/arbitrations, document in claims system, prepare reports, identify trends, and close claims within authority limits.
17 Days Ago
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Handle Private Company and Not‑For‑Profit D&O and Employment Practices claims across the full lifecycle: investigate, evaluate coverage, set and monitor reserves, manage litigation and counsel retention, participate in mediations/arbitrations, document in claims system, produce reports and trend analysis, support audits and broker/client meetings, and maintain adjuster licenses as required.
2 Hours Ago
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Lead identification, definition, and incubation of strategic innovation opportunities for Global Risk Solutions. Design experiments, build prototypes, coordinate technical delivery, partner with stakeholders to de-risk initiatives, and transition validated products/services back to the core business.
Top Skills:
ExcelPowerPoint
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
