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Weekday (YC W21)

Finance Professional, AI Expert

Weekday (YC W21)

. Collaborate with AI research and engineering teams to identify knowledge gaps and improve AI model performance across finance, valuation, financial modeling, accounting, and financial reporting .

Posted 11/12/2026contractRemote • United StatesMid-LevelSenior💰 $80 - $120 per hourWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates advanced financial modeling and valuation skills, including DCF analysis and LBO modeling, while applying practical financial industry knowledge to enhance AI model performance in finance. Strong written communication skills are essential for explaining complex financial concepts and methodologies.

Highest-signal resume keywords
Advanced Financial ModelingValuation SkillsMicrosoft Excel ProficiencyCFA or CPA CertificationDomain Expertise in Investment Banking

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
DCF AnalysisLBO ModelingComparable Company AnalysisPrecedent Transaction AnalysisFinancial Statement Analysis
Soft Skills
Excellent Written Communication
Tools & Technologies
Financial Analysis Tools
Certifications & Qualifications
CFACPAMBA
Industry Keywords
FinanceValuationFinancial ModelingAccountingFinancial ReportingInvestment BankingPrivate EquityCorporate FinanceFP&AEquity Research

About the role

Key responsibilities & impact
  • Collaborate with AI research and engineering teams to identify knowledge gaps and improve AI model performance across finance, valuation, financial modeling, accounting, and financial reporting
  • Develop challenging, domain-specific financial tasks and accurate, well-structured solutions
  • Review AI-generated financial tasks, analyses, and solutions for numerical accuracy, methodological correctness, and professional relevance
  • Build, review, and evaluate financial models, valuation analyses, and investment-related assessments
  • Develop detailed reference solutions for complex financial problems
  • Create structured rubrics to assess financial calculations, modeling methodologies, analytical reasoning, and professional judgment in AI-generated outputs
  • Work with finance subject matter experts and AI researchers to maintain consistency, accuracy, and quality across training datasets
  • Apply practical financial industry knowledge to real-world financial scenarios and professional workflows

Requirements

What you’ll need
  • 4+ years of dedicated professional experience in finance at a recognized, top-tier financial institution or organization
  • Previous experience at leading firms such as Goldman Sachs, Morgan Stanley, J.P. Morgan, Blackstone, KKR, Big Four Accounting Firms, or Fortune 500 corporate finance divisions
  • Domain expertise in investment banking, private equity, equity research, corporate finance, FP&A, accounting and financial reporting, or financial modeling and valuation
  • Advanced financial modeling and valuation skills, including DCF analysis, LBO modeling, comparable company analysis, precedent transaction analysis, and financial statement analysis
  • Advanced proficiency in Microsoft Excel and financial analysis tools
  • Professional qualifications such as CFA, CPA, or an MBA from a reputed business school are strongly preferred
  • Demonstrated career progression within a recognized financial institution
  • Ability to commit reliably for a minimum of 20 hours per week during weekdays
  • Excellent written communication skills and ability to explain complex financial concepts, technical decisions, and analytical methodologies clearly
  • Must be located in the United States
  • H-1B and STEM OPT candidates cannot be accommodated

Benefits

Comp & perks
  • Fully remote work arrangement
  • Flexible schedule subject to project requirements and weekday availability
  • W-2 employment
  • Payroll, benefits, and compliance managed through the employer of record
  • Opportunity to work directly with a leading AI research laboratory
  • Project assignments may be extended, shortened, or concluded early depending on business requirements and individual performance
  • Reasonable accommodations available to qualified applicants upon request