Volga Partners Logo

Volga Partners

Senior Investment Research & Capital Markets Subject Matter Expert) | U.S.

Posted 15 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.

Current Shift Availability

  • IST: 9:00 AM – 6:00 PM IST
  • PST: 6:00 AM – 3:00 PM PST

At this time, the client is seeking consultants who can consistently commit to a full 8-hour shift during one of the schedules above.

While you are expected to be available for the full shift, there is flexibility in how those hours are completed. For example, you may work 4 hours, take a break (up to 2 hours), and then complete the remaining 4 hours.

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.

HQ

Volga Partners Kirkland, Washington, USA Office

608 State St S, Suite 100S, Kirkland, Washington, United States, 98033

Similar Jobs

28 Minutes Ago
Remote or Hybrid
Pennsylvania, USA
15-23 Hourly
Entry level
15-23 Hourly
Entry level
Digital Media • Information Technology • News + Entertainment
Remote inbound sales role selling Comcast products and services by meeting sales targets using consultative techniques. Work-from-home position requiring flexible shifts, strong customer rapport, active listening, problem-solving, system navigation, punctual attendance, and collaboration within a sales team. Compensation is $15/hour plus uncapped commission and performance-based earnings; nights, weekends, and variable schedules required.
28 Minutes Ago
In-Office or Remote
Senior level
Senior level
Artificial Intelligence • Fintech • Software • Financial Services
Manage onboarding, implementation, and growth for enterprise clients using Worth's AI underwriting and decisioning platform. Serve as trusted advisor, drive renewals and expansion, lead client engagements and QBRs, monitor success metrics, coordinate cross-functional teams, and improve processes to maximize customer value.
Top Skills: AIHubspotJIRALinearMonday
28 Minutes Ago
Remote or Hybrid
Maryland, USA
65K-184K Annually
Senior level
65K-184K Annually
Senior level
Digital Media • Information Technology • News + Entertainment
Manage and coach enterprise sales team selling Comcast Business managed solutions to multi-site and national accounts. Drive sales performance via staffing, training, incentives, forecasting, and process improvements. Ensure achievement of revenue, quality, and operational objectives while handling personnel management, budgeting, and deployment of new products. Support customer experience and company operating principles.

What you need to know about the Seattle Tech Scene

Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.

Key Facts About Seattle Tech

  • Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Amazon, Microsoft, Meta, Google
  • Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Madrona, Fuse, Tola, Maveron
  • Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account