Financial Subject Matter Expert – AI Training & Evaluation

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Logo of Volga Partners

Volga Partners

1001 - 5000 employees

Founded 2020

🤖 Artificial Intelligence

🤝 B2B

🏢 Enterprise

Artificial Intelligence • B2B • Enterprise

Volga Partners is a technology services firm that specializes in Artificial Intelligence and Machine Learning solutions, data annotation and labeling, and development of customer service platforms powered by generative AI. The company also provides IT and software development services across web, app, full-stack, cybersecurity advisory, and e-commerce support, supported by a large multilingual crowd workforce and remote on-demand resources. Volga Partners focuses on partnering with enterprise clients to deliver scalable, cost-effective AI tooling, content moderation, linguistic services, and managed software projects.

📋 Description

• Create and review finance-related prompts, scenarios, and analytical tasks. • Evaluate AI-generated responses for financial accuracy, reasoning quality, and business relevance. • Apply subject matter expertise to improve model performance and financial understanding. • Review financial analyses, assumptions, calculations, and recommendations. • Identify inaccuracies, inconsistencies, and areas for improvement. • Provide structured feedback and quality assessments. • Collaborate with project teams to maintain high-quality deliverables. • Meet established project timelines and productivity goals.

🎯 Requirements

• Bachelor's degree in Finance, Accounting, Economics, Mathematics, Statistics, Business, or a related field. • Minimum 4 years of professional experience in one of the listed financial disciplines. • Strong analytical and critical-thinking skills. • Excellent written English communication skills. • Ability to evaluate complex financial concepts and explain reasoning clearly. • Reliable internet connection and ability to work independently in a remote environment. • Preferred: CFA Charterholder or CFA Candidate. • Preferred: ACCA, ACA, CMA, MBA Finance, M.Com, or similar credentials. • Preferred: Experience in financial modeling, valuation, forecasting, budgeting, investment analysis, or quantitative research. • Preferred: Experience reviewing technical content, research, or analytical reports. • Preferred: Exposure to AI, machine learning, data annotation, or model evaluation projects is a plus.

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