Volga Partners Logo

Volga Partners

(On-Call) Senior Investment Research & Capital Markets Subject Matter Expert) US

Reposted 18 Days Ago
Be an Early Applicant
Remote
Hiring Remotely in United States
55-60 Hourly
Senior level
Remote
Hiring Remotely in United States
55-60 Hourly
Senior level
Provide expert finance domain evaluation of AI-generated investment analyses: validate reasoning, identify factual or calculation errors, review valuation and financial models, create and refine prompts and benchmarks, annotate datasets, and deliver structured feedback to improve LLM performance while collaborating with project teams in a remote, project-based role.
The summary above was generated by AI
Schedule & Availability

This is a project-based independent contractor opportunity supporting the evaluation of advanced AI models.

As with many AI projects, work is assigned based on client demand. Although we anticipate strong project volume, available work may fluctuate over time. This engagement is best suited for consultants who are comfortable with a dynamic, project-based environment.

AI Evaluation Experience

Previous experience with AI evaluation, RLHF, prompt engineering, AI annotation, or LLM evaluation is strongly preferred. Candidates with exceptional finance expertise who are eager to learn structured AI evaluation workflows are also encouraged to apply.

Compensation
  • United States: $55–$60 USD/hour
  • Exceptional candidates may be considered for higher compensation based on experience and project requirements.
About the Role

We are seeking an experienced Senior Investment Research & Capital Markets 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.


RequirementsDomain Expertise

Candidates should demonstrate expert-level knowledge in one or more of the following:

  • Equity Research
  • Fixed Income Research
  • Credit Research
  • Investment Research
  • Asset Management
  • Portfolio Management
  • Buy-Side
  • Sell-Side
  • Capital Markets

Strong candidates typically have practical experience with:

    • Published research
    • Managed investment portfolios
    • Presented to investment committees
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

Candidates should possess:

  • 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

Candidates without prior AI evaluation experience may still be considered if they possess exceptional domain expertise and strong analytical reasoning.

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.

Please note:

  • 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.

About Volga Partners

Volga Partners is a global talent and consulting firm dedicated to building high-performing teams for the world's most innovative organizations. We specialize in identifying exceptional subject matter experts across finance, technology, healthcare, operations, and other highly specialized industries.

Our experts contribute to the development of advanced Artificial Intelligence by evaluating complex reasoning, improving model performance, and ensuring AI systems reflect the knowledge and judgment of experienced industry professionals.

Joining Volga Partners means becoming part of a global network of experts helping define the next generation of AI while working on challenging, project-based engagements with leading technology organizations.

Similar Jobs

An Hour Ago
Remote or Hybrid
130K-254K Annually
Senior level
130K-254K Annually
Senior level
Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
Lead product development for Commerce Media advertiser solutions: define strategy and roadmap, write requirements, prioritize milestones, partner with engineering, CX&D and Data Science, drive GTM support, influence cross-functional stakeholders, mentor junior PMs, and deliver new features and optimizations (automation, creative decisioning, campaign and offers workflows).
Top Skills: AdtechCard Linked OffersCtvJIRAMartechMl/AiMonday.ComProgrammatic
An Hour Ago
Remote or Hybrid
130K-254K Annually
Senior level
130K-254K Annually
Senior level
Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
Lead product development for Commerce Media advertiser solutions: define strategy, write product requirements, prioritize roadmaps, manage delivery with Engineering and TPMs, support GTM and business cases, drive ideation and research, mentor junior PMs, and liaise across Sales, Ops, Legal, Privacy, and other stakeholders to deliver new features and optimizations.
Top Skills: AdtechCard Linked OffersCtvData ScienceJIRAMartechMl/AiMonday.ComProgrammaticProgrammatic Advertising
3 Hours Ago
Remote or Hybrid
44K-85K Annually
Junior
44K-85K Annually
Junior
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Handle inbound calls and warm leads, consult customers on insurance needs, recommend appropriate coverages and products, and convert prospects into policyholders. Complete paid training and obtain a Property and Casualty insurance license if needed. Maintain strong customer relationships, represent the Liberty Mutual brand, meet sales goals, and work a designated weekday and weekend schedule remotely.
Top Skills: PcProperty And Casualty Insurance LicenseWired High-Speed Internet

What you need to know about the Boston Tech Scene

Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.

Key Facts About Boston Tech

  • Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
  • Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
  • Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
  • Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account