Vacancy details
This is a private vacancy. Company details stay confidential until InVault confirms a serious candidate fit.
- Status
- Active
- Date posted
- 2026-11-15
- Open until
- 2027-02-13
- Employment type
- Full-time
- Source-listed languages
- Not specified
- Language requirement
- No mandatory language inferred
- Work arrangement
- Remote
- Physical workplaces
- Not specified
- Applicant eligibility
- United States
Overview
Support data-driven business credit underwriting for an integrated financial-services platform. Assess applicant business financials, banking connections and operational cash flow, monitor existing credit-account health and translate risk signals into underwriting, fraud detection and portfolio strategy.
Requirements
- At least five years of experience in data analytics or credit analytics, preferably within fintech, business credit cards or SME lending.
- Fluency in SQL or SAS and practical comfort using Python or R for exploratory analytics and automation.
- Strong understanding of credit underwriting principles, SME financial analysis and cash-flow evaluation.
- Experience interpreting business financial statements, balance sheets, profit and loss statements, tax returns and connected banking data.
- Familiarity with commercial credit bureau information and third-party credit reports such as Experian and Dun & Bradstreet.
- Ability to present financial-risk analysis clearly and influence credit, product and portfolio stakeholders.
Responsibilities
- Analyze SME credit applications using financial statements, bank transactions, tax records and accounting integrations.
- Develop automated and manual decision-support tools and dashboards for underwriting and fraud.
- Monitor spend, utilization, payment behavior and weakening creditworthiness after origination.
- Integrate external business credit scores and reports into portfolio risk segmentation.
- Track delinquency, charge-offs, repayment consistency and collection-risk indicators.
- Analyze credit card unit economics, interchange, interest, rewards cost, customer profitability and risk-adjusted returns.
- Build behavioral customer cohorts, lifetime-value models and risk-adjusted recommendations.
Conditions
- Full-time fully remote position for candidates located in the United States.
