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Excel Expert, Finance
Weekday (YC W21). Guide research teams to close knowledge gaps and improve AI model performance on Excel-based tasks within finance.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates advanced Excel expertise with a focus on financial modeling and AI training, ensuring high-quality task design and evaluation. Strong communication and problem-solving skills are essential for collaboration with research teams and subject matter experts.
Highest-signal resume keywords
Advanced Excel ExpertiseFinancial ModelingAI Training ExperienceVerbal and Written Communication SkillsProblem-Solving Skills
ATS Keywords
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Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Advanced FormulasPivotTablesDashboardsPower QueryPower PivotMacros/VBAThree-Statement ModelsLBO/DCF ValuationForecasting
Soft Skills
Interpersonal Skills
Industry Keywords
Private EquityInvestment BankingHedge FundsEquity ResearchAccountingFP&A
Tech Stack
Tools & technologiesVBA
About the role
Key responsibilities & impact- Guide research teams to close knowledge gaps and improve AI model performance on Excel-based tasks within finance.
- Design realistic, domain-relevant Excel tasks drawn from your professional experience, and write accurate, well-structured solutions.
- Evaluate Excel tasks and solutions and provide clear, written feedback.
- Collaborate with other subject matter experts to ensure consistency and accuracy in training data.
Requirements
What you’ll need- Demonstrated advanced, professional-level Excel expertise, including advanced formulas (e.g., XLOOKUP, INDEX/MATCH, dynamic arrays), PivotTables, financial modeling, dashboards, Power Query, Power Pivot, and macros/VBA.
- Hands-on professional experience applying Excel within a finance domain — private equity, investment banking, hedge funds, or equity research (accounting / FP&A also considered), including work such as three-statement models, LBO/DCF and valuation, and forecasting.
- Demonstrable career progression in your field.
- Prior experience in AI training, human data annotation, or model evaluation — ideally Rubrics-trained on Mercor or a comparable platform — is a strong plus.
- Ability to engage reliably for 40 hours/week during weekdays through the end of September, then 20 hours/week thereafter.
- Verbal and written communication skills, problem-solving skills, and interpersonal skills.
- United States–based only.