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Posted 26 June, 2026

Finance Analyst for LLM Model Training

DeepLLMData
Hosūr, TN, IN Full Time
Reference: 7f28286dfa81f529

Job Description

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

  • 3–10 years of experience in Finance / Accounting / Investment Analysis. Previous experience is important. Experience in Investment Banking, Equity Valuation, Private Equity Investing, Corporate Banking.
  • 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

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