Quant Finance Analyst for LLM Model Training

Company Description

DeepLLMData specializes in providing expert human-annotated data for large language model (LLM) training and development. The company offers services such as supervised fine-tuning (SFT), reinforcement learning with human feedback (RLHF), and data provisioning for domains requiring STEM expertise, mathematics, and other specialized fields.

Role Description

This is a Freelancing role for Finance Professionals with CFA or CPA background to design, develop, and evaluate high-quality prompts for Large Language Models (LLMs) using real-world financial data and documents. This role blends deep financial expertise with AI prompt engineering and response validation.

Project involves creating finance-specific prompts using structured and unstructured financial data such as:

• Financial statements (P&L, Balance Sheet, Cash Flow)
• Annual reports (10-K, 10-Q)
• Equity research reports
• Investment memos and valuation models
• Audit reports and compliance documents
• Design prompts that simulate real-world financial analysis scenarios and Test and validate prompts across leading LLMs .
• Evaluate model responses for: Financial accuracy and numerical correctness, Logical reasoning and assumptions, Compliance with accounting standards (GAAP/IFRS), Clarity and usability for different stakeholders
• Develop “Golden Responses” (ideal outputs) that serve as benchmarks for model training and evaluation.

Required Skills & Qualifications

• >8 years of experience in Quant Finance
• Strong understanding of:

Financial statements and reporting

Corporate finance and valuation techniques (DCF, comparables, etc.)

Financial modeling and analysis

• Bachelor’s degree in Finance, Accounting, Economics, or a related field (Master’s preferred)
• Ability to adapt to a fast-paced, innovative environment

Nature

Part-Time or Contract based