About this opportunity
Angrist lists this Fractional Quality of Earnings (QoE) Expert opportunity in united, West Virginia. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Job Description
Fractional Quality of Earnings (QoE) Expert | Contract | Remote
About Angrist
Angrist is AI-driven underwriting infrastructure for private-market acquisitions. The company uses AI to reconstruct and verify financial performance from fragmented accounting data, bank records and source documents. It is starting with acquisition underwriting and Quality of Earnings.
The role
Angrist is looking for an experienced QoE practitioner to work with the founding and engineering team as the product takes shape. You will bring professional judgment on how QoE work is done, reviewed and documented, and help make sure the product meets the standards of those who rely on it.
Responsibilities
Advise on how a QoE analysis is structured, from source documents to conclusions
Review product workflows and outputs against professional standards
Identify what reviewers and users expect to see in a QoE report, and where reports are typically challenged
Help define quality checks and documentation standards
Provide feedback in regular working sessions
Qualifications
Experience building or leading QoE or financial due diligence engagements
Background at a Big 4, mid-tier or specialist transaction advisory firm preferred
Strong working knowledge of normalized earnings, adjustments, proof of cash and working capital
Experience with small and mid-size company transactions is a plus
CPA or equivalent credential is a plus
Clear written communication
Engagement
Contract role, 10 to 15 hours a week, starting in late October
Fully remote
Compensation commensurate with experience
Begins with a short paid trial, with a longer engagement possible
Candidates must be free of conflicts with competing service providers.
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.