Capital allocation AI Expert

1 hour, 40 minutes ago
Part-time
Mid Level
Artificial Intelligence and Machine Learning
Weekday

Weekday

Weekday helps companies hire engineers who are vouched by other software engineers, enabling passive income for engineers. They offer services like drafting outreach messages, shortlisting candidates, and conducting reference checks. Backed by Y Combin...

Construction & Engineering
11-50
Founded 2020

Description

  • Evaluate investment opportunities across product development, technology adoption, acquisitions, and operational improvements.
  • Build and maintain financial models to assess ROI, IRR, NPV, and payback periods.
  • Use AI and predictive analytics to improve forecasting accuracy and scenario planning.
  • Develop build-versus-buy decision frameworks that weigh cost, time-to-market, scalability, strategic control, and risk.
  • Design prioritization models that rank initiatives based on strategic impact, financial return, and resource constraints.
  • Apply optimization techniques and AI tools to support capital allocation decisions.
  • Partner with finance, product, engineering, and leadership teams to gather inputs, validate assumptions, and align priorities.
  • Translate complex analyses into clear recommendations for technical and non-technical stakeholders.
  • Track the performance of funded initiatives against projections and conduct post-investment reviews.
  • Continuously improve data pipelines, model accuracy, reporting, and decision-support processes.

Requirements

  • Bachelor’s or Master’s degree in Finance, Economics, Engineering, Data Science, or a related field.
  • 2–8 years of experience in capital allocation, investment analysis, strategy consulting, or a similar role.
  • Strong financial modeling skills with deep understanding of ROI metrics such as NPV and IRR.
  • Experience applying AI/ML techniques to business decision-making or forecasting.
  • Proven ability to structure and solve complex problems under uncertainty.
  • Familiarity with build-versus-buy evaluation frameworks and strategic trade-off analysis.
  • Strong analytical tool proficiency, such as Python, SQL, Excel, or similar.
  • Excellent communication and stakeholder management skills.
  • Experience in high-growth or technology-driven environments is preferred.
  • Exposure to optimization algorithms or resource allocation models is preferred.
  • Background in corporate strategy, venture investing, or product prioritization is preferred.

Benefits

  • $100–$120 per hour compensation.
  • 20 hours per week commitment.
  • Part-time contract role.
  • Remote work available in the US, UK, Canada, France, and Portugal.

Interested in this position?

Apply directly on the company website

Apply Now

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