Weekday AI

Proactive software engineer recruitment via referrals

Capital Allocation AI Expert

Corporate Finance & FP&AConfirmed live in the last 24 hours

Part-time$100 - $120 /hrRemote

About the Job

Requirements

A Bachelor's or Master's degree in Finance, Economics, Engineering, Data Science, or a related field is required.
Two to eight years of experience in capital allocation, investment analysis, strategy consulting, or a similar role is required.
Strong financial modeling skills and a deep understanding of return on investment metrics, including net present value and internal rate of return, are required.
Experience applying artificial intelligence or machine learning techniques to business decision-making or forecasting is required.
The candidate must be able to structure and solve complex problems under uncertainty.
Familiarity with build-versus-buy evaluation frameworks and strategic trade-off analysis is required.
Proficiency with analytical tools such as Python, SQL, Excel, or similar tools is required.
Strong communication and stakeholder management skills are required.

Responsibilities

Analyze investment opportunities across product development, technology adoption, acquisitions, and operational improvements.
Build and maintain financial models to assess return on investment, internal rate of return, net present value, and payback periods.
Use artificial intelligence and predictive analytics to improve forecasting accuracy and scenario planning.
Translate complex analyses into clear, actionable recommendations for stakeholders.
Develop structured frameworks to evaluate whether capabilities should be built internally or acquired externally, incorporating cost, time-to-market, scalability, strategic control, and risk.
Use data-driven insights to quantify trade-offs and support leadership in making choices aligned with long-term business goals.
Design prioritization models that balance strategic impact, financial return, and resource availability.
Apply optimization techniques and artificial intelligence tools to rank initiatives across competing demands.
Work with cross-functional teams to align strategic priorities with execution capacity.
Implement and use machine learning models and decision-support systems to improve 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.
Partner with finance, product, engineering, and leadership teams to gather inputs, validate assumptions, and align on priorities.
Communicate insights to technical and non-technical audiences to support transparent decision-making.
Track funded initiatives against projected outcomes and conduct post-investment reviews to refine models and improve future allocation decisions.
Establish feedback loops for continuous improvement.

Desired Qualifications

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

Capital allocation AI Expert

Weekday AI · United States (Remote) · Part-time · Posted 2026-04-21

Workplace: remote

Department: AI Training

Description

This role is for one of our clients

Compensation: $100-$120 per hour (20 hours per week commitment)
Job Type: Part-time / Contract

Location: US, UK, Canada, France, Portugal (remote)

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.

Requirements

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.

Required Skills & 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.

Apply

Apply at Weekday AI

About the Company

Weekday AI

Proactive software engineer recruitment via referrals

Weekday.works helps companies hire software engineers through proactive outreach and peer-recommended candidates. Its platform automates tracking, pipeline management, and provides weekly updates, while it actively identifies engineers via peer networks, reaches out, shortlists, checks references, and schedules interviews. Differentiators include peer-backed vetting instead of traditional job boards, proactive outreach, and a passive-income reference feature that monetizes referrals. The goal is to reduce the time and effort of hiring by connecting companies with pre-vetted engineers who are open to new opportunities through a network-driven approach.

Company size: 201-500
Company stage: Seed
Total funding: $2.3M
Headquarters: Bengaluru, India
Founded: 2021

Recently Posted Jobs

Explore more opportunities at Weekday AI

See more jobs