[Hiring] Senior Quantitative Finance SME (AI Evaluation) @Volga Partners

Role Description

We are seeking an experienced Quantitative Finance Subject Matter Expert to support the development, evaluation, and improvement of advanced Artificial Intelligence (AI) models. This is not a traditional Investment Banking position. Instead, you will apply your real-world expertise to evaluate complex AI-generated financial analyses, validate technical reasoning, identify inaccuracies, and help improve Large Language Models (LLMs) used within the finance industry.

We are looking for professionals who are recognized as experts within their field—individuals capable of evaluating financial reasoning with the same rigor expected in investment banking, corporate finance, transaction advisory, and institutional finance environments.

Domain Expertise

• Quantitative Finance
• Financial Engineering
• Financial Mathematics
• Derivatives
• Risk Modeling
• Stochastic Calculus
• Portfolio Optimization
• Model Validation
• Quantitative Research

What Makes a Strong Candidate

• Built pricing models
• Validated quantitative models
• Published quantitative research

Key Responsibilities

• Evaluate AI-generated financial analyses for technical accuracy, completeness, and quality of reasoning.
• Identify factual inaccuracies, unsupported assumptions, logical inconsistencies, and calculation errors.
• Review financial models, valuation methodologies, and investment analyses produced by AI.
• Create, review, and refine finance-related prompts, benchmark responses, and evaluation datasets.
• Apply detailed annotation guidelines consistently while maintaining exceptional quality standards.
• Provide structured, actionable feedback that improves AI model performance.
• Collaborate with Project Managers, Quality Assurance teams, and AI Researchers to improve evaluation methodologies.
• Maintain productivity and quality expectations while working independently in a remote environment.

Required Qualifications

• Significant practical experience in Investment Banking, Corporate Finance, or Transaction Advisory.
• Strong knowledge of U.S. financial markets and corporate finance principles.
• Exceptional analytical and critical thinking skills.
• Advanced financial modeling and valuation capabilities.
• Excellent written English communication skills.
• Ability to independently evaluate complex financial analyses and articulate technical feedback.
• Strong attention to detail and commitment to quality.

Preferred Qualifications

• One or more of the following is highly desirable:
• Professional Certifications
• CFA (Completed or Candidate)
• CPA
• MBA (Finance)
• Chartered Accountant (CA)

Professional Background

• Investment Banking
• Big Four Transaction Advisory
• Valuation Advisory
• Private Equity
• Venture Capital
• Corporate Development
• Strategic Finance

Financial Platforms

• Bloomberg Terminal
• Capital IQ
• FactSet
• Refinitiv
• PitchBook

AI Experience

• Previous experience with any of the following is highly desirable:
• AI Model Evaluation
• Reinforcement Learning from Human Feedback (RLHF)
• Prompt Engineering
• AI Annotation
• Large Language Model (LLM) Evaluation
• AI Quality Assurance
• Benchmark Dataset Development

U.S. Market Knowledge

• Candidates should demonstrate a strong working knowledge of:
• SEC Filings
• Public Equities
• Financial Statements
• Valuation Methodologies
• Corporate Earnings
• Macroeconomic Indicators
• Investment Analysis
• Capital Markets
• Financial Ratios
• Portfolio Concepts
• Market Trends

What Makes a Strong Candidate

• Successful candidates are often professionals who have:
• Led complex financial analyses or valuation engagements.
• Reviewed or approved the work of other finance professionals.
• Supported or led high-profile transactions.
• Presented recommendations to executive leadership, investment committees, or clients.
• Built financial models used in strategic business decisions.
• Applied expert judgment to evaluate complex financial scenarios.

Trial Gig (Required)

As part of the selection process, all shortlisted candidates must successfully complete a Trial Gig designed to evaluate technical finance expertise, analytical reasoning, written communication, attention to detail, and the ability to assess AI-generated financial responses.

• Successful completion of the Trial Gig is required before joining the production project.
• Candidates who meet the required quality standards will receive an offer to join the project and will be compensated for successfully completing the Trial Gig.
• Candidates who do not meet the required quality standards will not move forward on this project and will not receive compensation for the Trial Gig.
• Strong candidates who are not selected may remain in our talent network and be considered for future AI evaluation projects that better align with their expertise.