Financial Data & AI Operations Associate
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Job Description
Financial Data & AI Operations Associate ensuring accuracy and usability of financial data for lenders. Involved in financial analysis, data validation, customer onboarding, and product improvement.
Responsibilities:
- Review outputs from AI systems (data extraction, classification, financial summaries, risk signals)
- Cross-check outputs against source documents (bank statements, invoices, audited accounts, tax records)
- Identify hallucinations, inconsistencies, and edge cases
- Provide structured feedback to improve prompts, models, and workflows
- Help define validation rules and escalation thresholds
- Validate onboarding inputs including company financials, financing requests, repayment terms, and operational data
- Ensure completeness, accuracy, and logical consistency of all submissions
- Normalize and structure financial data into platform-ready formats
- Validate key financial metrics (revenue, margins, cash flow, inventory turnover)
- Review uploaded documents (bank statements, certificates, contracts)
- Ensure documents meet required standards and match submitted data
- Manage verification statuses and audit trails
- Support workflows for invoice financing, purchase order financing, inventory financing, and asset financing
- Guide SMEs through onboarding and application processes
- Explain documentation requirements and data expectations
- Troubleshoot issues related to uploads, validation errors, and missing information
- Ensure a smooth, high-quality onboarding experience
- Cross-check backend data with frontend submissions
- Identify mismatches, anomalies, and system inconsistencies
- Monitor workflows and flag bottlenecks or failures
- Work with engineering to improve validation logic and system reliability
- Identify recurring issues and propose scalable fixes
- Improve validation rules, workflows, and UX
- Contribute to training datasets for AI models
- Support development of internal tools for validation and QA
- Assist in preparing applications for lender review
- Support compliance and restricted-use checks
- Ensure auditability and traceability of all financial data
- Flag high-risk or inconsistent applications
Requirements:
- 1–2 years of relevant experience (finance, audit, operations, fintech, or consulting)
- Bachelor’s degree in Finance, Accounting, Commerce, or related field
- Strong understanding of financial statements (P&L, cash flow, balance sheet)
- Ability to interpret financial data and identify inconsistencies
- High attention to detail and strong analytical thinking
- Comfortable working with data, spreadsheets, and documents
- Strong communication and problem-solving skills
- Nice to Have:
- CPA
- Experience in audit, lending, SME finance, or fintech
- Familiarity with AI tools (ChatGPT, Claude) and their limitations
- Experience with bookkeeping tools or financial systems
- Exposure to operations, product, or startup environments
Benefits:
- Competitive compensation for early-career talent
- Clear growth path into operations, product, risk, or data roles
- Direct exposure to fintech, AI, and credit systems
- Opportunity to become a core long-term team member
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