Related skills
looker financial modeling snowflake sql python📋 Description
- Review financial statements (P&L, balance sheet, cash flow) to evaluate counterparty credit.
- Calculate leverage, liquidity, and coverage ratios to assess financial risk.
- Write credit memos with risk assessments and approval recommendations.
- Determine reserve levels and set exposure limits based on risk profile.
- Monitor counterparties for changes in financial health, metrics, or signals.
- Use SQL, Python, and BI tools to query and analyze risk data.
🎯 Requirements
- Bachelor's in Finance, Accounting, Economics, or Data Science. CFA/CPA a plus.
- 5+ years in credit underwriting for counterparty risk, financial analysis, or risk management.
- Strong foundation in financial modeling and credit ratio analysis.
- Proficiency in SQL, Python, Hex, and Snowflake.
- Experience with BI tools such as Looker, Tableau, or similar.
- Data-backed underwriting decisions; independent judgment.
- Excellent written and verbal communication; stakeholder presentations.
- Experience in fintech, commercial lending, payments, or B2B trade finance.
🎁 Benefits
- Hybrid work model enabling collaboration.
- Competitive compensation and benefits package.
- Exposure to fintech risk, data analytics, and underwriting.
- Career growth in a fast-growing fintech.
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