Flowt: Financial Data & AI Operations Associate

Type: Full-time

Level: Junior / Early Career (1-2 years)

Team: Engineering (Platform)

Reporting to: CTO / Lead Engineer

Start date: As soon as possible

Location: Remote-first (Africa / GMT+3 friendly); occasional in-person sessions if applicable

About Flowt

Flowt is building a modern debt readiness and financing platform for businesses in emerging markets. We help SMEs become credit-ready by converting real-world operational and financial inputs into lender-grade applications and risk signals. Our platform brings together: (1) fast onboarding and structured data capture, (2) integrations into bookkeeping and banking sources, (3) workflow automation for financing products such as invoice financing, purchase order financing, inventory financing, and asset financing, and (4) AI-enabled validation and scoring to improve speed, accuracy, and fairness.

Our product captures company, founder, and financing details (including required documents like audited accounts, bank statements, tax compliance certificates, and product-specific invoices/POs), and supports risk and impact assessment requirements (e.g., legal disputes, statutory liabilities, and restricted-use screening).

About the Role

We are hiring a Financial Data & AI Operations Associate — a high-ownership role at the core of Flowt’s platform.

This role sits at the intersection of:

• Financial analysis  

• Data validation & QA  

• AI (human-in-the-loop systems)  

• Customer onboarding & support  

• Product & workflow improvement  

You will ensure that all financial data flowing through Flowt is accurate, complete, and usable for lenders, while continuously improving the systems that process this data.

What You’ll Own

1. AI Validation & Human-in-the-Loop Systems
   - 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
   
2. Financial Data Validation & Standardization
   - 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)
3. Document & Workflow Verification
   - 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
4. Customer Onboarding & Support
   - 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
5. Backend Data Review & Operational Monitoring
   - 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
6. Product, Data & AI Improvement
   - 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
   
7. Risk & Underwriting Support
   - 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

What Success Looks Like (First 90 Days)

Weeks 1–2:
- Deep understanding of Flowt’s products, workflows, and financial data structures
- Learn validation processes and AI review systems
 - Begin reviewing applications with supervision
Weeks 3–6:
- Independently validate onboarding and financial data
- Identify common AI and data issues
 - Support multiple users through onboarding and applications
Weeks 7–12:
- Own validation workflows for a key product area (e.g., invoice financing)
- Improve turnaround time and accuracy of validation processes
 - Proactively suggest and implement improvements to workflows and systems

Required Qualifications

- 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

Our Working Style

- High ownership: you will own critical workflows early

- Detail-first: accuracy is non-negotiable in financial systems

- Fast-paced: we move quickly but prioritize correctness

- Collaborative: work closely with engineering, product, and operations

- Continuous improvement: we expect you to question and improve processes

Compensation & 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