Private Equity Associate 51

Weekday AI is seeking a Private Equity Associate to support AI training initiatives, combining private equity expertise with AI technologies. Responsibilities include developing financial models, translating research into AI datasets, and enhancing AI-driven financial analyses. Candidates should have at least 2 years of experience in private equity or investment banking, strong analytical skills, and the ability to collaborate across teams. This is a fully remote, full-time position.
This role is for one of our clients

Compensation: $100 - $200/hour-pay

Join a forward-thinking team at the intersection of private equity and artificial intelligence. As a Private Equity Associate supporting AI training initiatives, you will apply your investment and financial modeling expertise to help shape next-generation AI-driven solutions for financial analysis, due diligence, and portfolio management.

This role offers a unique opportunity to combine traditional private equity and investment banking skill sets with innovative AI technologies in a collaborative, fully remote environment.

Requirements

Key Responsibilities Develop, review, and refine financial models to support AI training programs, ensuring technical accuracy and alignment with industry standards. Translate market research, investment memos, and due diligence findings into structured AI training datasets and learning modules. Partner with cross-functional stakeholders to convert complex financial concepts into clear, actionable AI training inputs. Evaluate and improve AI-generated financial analyses, identifying gaps in reasoning, modeling assumptions, or valuation methodologies. Contribute strategic insights to enhance the performance and effectiveness of AI-powered private equity and investment tools. Required Qualifications Minimum 2 years of experience in private equity and/or investment banking with a strong background in financial modeling. Demonstrated expertise in market research, due diligence, valuation, and investment analysis. Strong analytical capabilities with meticulous attention to detail. Exceptional written and verbal communication skills, with the ability to clearly explain complex financial concepts. Proven ability to manage stakeholders and collaborate across teams. Strong problem-solving skills and the ability to work independently in a structured, deadline-driven environment. Preferred Qualifications Experience working with or training AI/ML systems in a financial context. Advanced proficiency in Excel and financial modeling best practices. Exposure to AI initiatives within private equity or investment banking environments.