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Weekday (YC W21)

Excel Expert, Finance

Weekday (YC W21)

. Guide research teams to close knowledge gaps and improve AI model performance on Excel-based tasks within finance.

Posted 9/18/2026contractRemote • United StatesMid-LevelSenior💰 $70 - $100 per hourWebsite

Core Competencies

Role fit
Core 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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Applicant Tracking System Keywords

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 & technologies
VBA

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.