Volga Partners Logo

Volga Partners

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

Reposted 28 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
156K-211K Annually
Senior level
156K-211K Annually
Senior level
Artificial Intelligence • Cloud • Information Technology • Sales • Security • Software • Cybersecurity
Lead commercial strategy across Rapid7’s product portfolio, including pricing, packaging, positioning, bundling, value-based pricing, and go-to-market execution. The role partners with Product, Sales, Marketing, RevOps, Finance, and Deal Desk to analyze commercial metrics, develop models, guide CPQ and operational tooling, monitor competitors, and present recommendations to senior leadership. The position requires strong quantitative analysis, financial modeling, cross-functional influence, and execution in a B2B SaaS environment.
Top Skills: Business Intelligence PlatformsDashboardsData Warehouse ToolingEnterprise CpqSpreadsheet ModelingSQL
An Hour Ago
Remote or Hybrid
United States
191K-258K Annually
Expert/Leader
191K-258K Annually
Expert/Leader
Artificial Intelligence • Cloud • Information Technology • Sales • Security • Software • Cybersecurity
Architects and delivers foundational systems for an autonomous security investigation platform supporting MDR. Responsibilities include distributed data pipelines, query engines, orchestration, ML model infrastructure, scalability, reliability, observability, technical standards, design reviews, mentorship, and cross-team architecture. The role partners with ML, product, data science, and platform teams to solve complex technical problems across real-time security operations.
Top Skills: Amazon S3AWSData MeshDistributed Query EnginesDynamoDBEmbedding SystemsFlinkKafkaLlmsMl/Ai
Senior level
Artificial Intelligence • Big Data • Healthtech • Software • Biotech
Leads end-to-end IVD, companion diagnostic, clinical trial assay, tumor profiling, and SaMD development programs. Aligns internal cross-functional teams and biopharma partners across strategy, validation, clinical operations, regulatory submission, manufacturing, and commercialization. Owns governance, milestones, budgets, resources, risks, and partner relationships while delivering programs through regulatory approval or pivotal clinical trials.
Top Skills: Analytical ValidationAssay DevelopmentBioinformaticsBlaClinical ValidationCompanion Diagnostics (Cdx)Design ControlsEu IvdrFda Regulatory RequirementsIndIvdMaaNdaPhase I/Ii/IiiSoftware As A Medical Device (Samd)

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account