[Hiring] Capital allocation AI Expert @Weekday AI

Role Description

We are seeking a Capital Allocation AI Expert to drive data-informed investment decisions across the organization. This role sits at the intersection of finance, strategy, and advanced analytics, focusing on optimizing how capital is deployed to maximize long-term value. You will evaluate investment opportunities, guide build vs. buy decisions, and prioritize initiatives under resource constraints using AI-driven insights and rigorous financial frameworks.

Key Responsibilities

• Evaluate Investment Opportunities & ROI:
  • Analyze a wide range of investment opportunities, including product development, technology adoption, acquisitions, and operational improvements.
  • Build and maintain financial models to assess ROI, IRR, NPV, and payback periods.
  • Leverage AI and predictive analytics to enhance forecasting accuracy and scenario planning.
  • Translate complex analyses into clear, actionable recommendations for stakeholders.
• Build vs. Buy Decision Frameworks:
  • Develop structured frameworks to assess whether capabilities should be built internally or acquired externally.
  • Incorporate cost, time-to-market, scalability, strategic control, and risk factors into decision-making models.
  • Use data-driven insights to quantify trade-offs and support leadership in making informed choices aligned with long-term business goals.
• Prioritize Initiatives Under Constraints:
  • Design prioritization models that balance strategic impact, financial return, and resource availability.
  • Apply optimization techniques and AI tools to rank initiatives across competing demands.
  • Work closely with cross-functional teams to ensure alignment between strategic priorities and execution capacity.
• AI-Driven Decision Support:
  • Implement and utilize machine learning models and decision-support systems to enhance capital allocation processes.
  • Continuously improve data pipelines, model accuracy, and reporting capabilities.
  • Identify opportunities to automate repetitive analysis and improve decision speed without compromising quality.
• Stakeholder Collaboration:
  • Partner with finance, product, engineering, and leadership teams to gather inputs, validate assumptions, and align on priorities.
  • Communicate insights effectively to both technical and non-technical audiences, ensuring transparency in decision-making.
• Performance Monitoring & Optimization:
  • Track the performance of funded initiatives against projected outcomes.
  • Conduct post-investment reviews to refine models and improve future allocation decisions.
  • Establish feedback loops to ensure continuous improvement.

Qualifications

• 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 a deep understanding of ROI metrics (NPV, IRR, etc.).
• Experience applying AI/ML techniques to business decision-making or forecasting.
• Proven ability to structure and solve complex problems under uncertainty.
• Familiarity with build vs. buy evaluation frameworks and strategic trade-off analysis.
• Strong analytical tools proficiency (e.g., Python, SQL, Excel, or similar).
• Excellent communication and stakeholder management skills.

Preferred Qualifications

• Experience in high-growth or technology-driven environments.
• Exposure to optimization algorithms or resource allocation models.
• Background in corporate strategy, venture investing, or product prioritization.

Requirements

• Compensation: $100-$120 per hour (20 hours per week commitment)
• Job Type: Part-time / Contract
• Location: US, UK, Canada, France, Portugal (remote)