Remote AI-Driven Financial Modeling Expert

Weekday AI (YC W21)

France

Sur place

EUR 117 013 - 140 416

Temps partiel

14 jours+

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Avantages offerts par ce poste

Opportunity for high visibility with senior leadership
Collaborative environment focused on learning and growth

Résumé du poste

Weekday AI (YC W21) is seeking a part-time Financial Modeling AI Expert to bridge advanced analytics with strategic financial decision-making. The role, which can be performed remotely from France, involves developing financial models, applying AI techniques, and collaborating with finance leaders to inform critical business decisions. Ideal candidates will have a relevant degree, proficiency in Excel, and experience in financial modeling, with strong analytical and communication skills.

Qualifications

  • 2-7 years of experience in financial modeling, corporate finance, investment banking, or consulting.
  • Advanced proficiency in financial modeling techniques including DCF analysis and scenario modeling.
  • Experience with AI/ML tools to enhance modeling efficiency.

Responsabilités

  • Develop robust operating models and cash flow forecasts.
  • Apply AI techniques to improve the accuracy of financial models.
  • Conduct sensitivity analysis and scenario planning.

Connaissances

Financial modeling
AI/ML tools
Sensitivity analysis
Communication skills
Analytical thinking

Formation

Bachelor's or Master's degree in Finance, Economics, Accounting, Engineering or related field

Outils

Excel
Power BI
Tableau
Python

Description du poste

Weekday AI (YC W21) is seeking a part-time Financial Modeling AI Expert to bridge advanced analytics with strategic financial decision-making. The role, which can be performed remotely from France, involves developing financial models, applying AI techniques, and collaborating with finance leaders to inform critical business decisions. Ideal candidates will have a relevant degree, proficiency in Excel, and experience in financial modeling, with strong analytical and communication skills.
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