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
Requirements
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
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