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Financial Analyst

OPTISOL

All India, Chennai • 1 month ago

Experience: 0 to 4 Yrs

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Job Description

Role Overview: As a Financial Analyst / Financial QA at our company, you will be responsible for reviewing and validating AI-generated financial outputs with accuracy and consistency. You will play a crucial role in ensuring the quality, correctness, and domain correctness of financial data review workflows. This position is ideal for individuals with a strong commerce or finance background who enjoy reviewing financial statements and have an interest in AI/LLM models. Key Responsibilities: - Review outputs generated by AI/LLM experiments for accuracy, completeness, and domain correctness. - Validate results by comparing them with answer keys and financial standards. - Identify inconsistencies, missing information, misinterpretation, and provide structured feedback. - Support developers by reviewing domain-heavy content and suggesting improvements. - Analyze financial documentation including balance sheets, P&L, cash flow statements, and related records. - Contribute to financial domain improvements for AI model training and evaluation. Qualifications Required: - Strong knowledge of financial statements and basic accounting principles. - Commerce background (B.Com, M.Com, CA Inter / CA Articles preferred). - Ability to review structured outputs and identify errors quickly. - Analytical mindset with high attention to detail. - Comfort working with repetitive, rule-based QA tasks. - Basic awareness of AI and LLM tools such as GPT, cloud-based AI platforms, or prompting workflows. - Good communication skills with the ability to provide clear, structured feedback. Core Benefits: - Opportunity to work with cutting-edge AI and LLM-based evaluation workflows. - Pathway to grow into a specialized Financial Consultant / Financial Analyst role. - Work closely with engineering and AI teams to influence model improvements. - Exposure to financial QA tools, GenAI validation, and structured data analysis. - Learning opportunities, domain mentorship, and skill development programs. - Flexible location options with career advancement opportunities. Role Overview: As a Financial Analyst / Financial QA at our company, you will be responsible for reviewing and validating AI-generated financial outputs with accuracy and consistency. You will play a crucial role in ensuring the quality, correctness, and domain correctness of financial data review workflows. This position is ideal for individuals with a strong commerce or finance background who enjoy reviewing financial statements and have an interest in AI/LLM models. Key Responsibilities: - Review outputs generated by AI/LLM experiments for accuracy, completeness, and domain correctness. - Validate results by comparing them with answer keys and financial standards. - Identify inconsistencies, missing information, misinterpretation, and provide structured feedback. - Support developers by reviewing domain-heavy content and suggesting improvements. - Analyze financial documentation including balance sheets, P&L, cash flow statements, and related records. - Contribute to financial domain improvements for AI model training and evaluation. Qualifications Required: - Strong knowledge of financial statements and basic accounting principles. - Commerce background (B.Com, M.Com, CA Inter / CA Articles preferred). - Ability to review structured outputs and identify errors quickly. - Analytical mindset with high attention to detail. - Comfort working with repetitive, rule-based QA tasks. - Basic awareness of AI and LLM tools such as GPT, cloud-based AI platforms, or prompting workflows. - Good communication skills with the ability to provide clear, structured feedback. Core Benefits: - Opportunity to work with cutting-edge AI and LLM-based evaluation workflows. - Pathway to grow into a specialized Financial Consultant / Financial Analyst role. - Work closely with engineering and AI teams to influence model improvements. - Exposure to financial QA tools, GenAI validation, and structured data analysis. - Learning opportunities, domain mentorship, and skill development programs. - Flexible location options with career advancement opportunities.

Posted on: March 1, 2026

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