Lead Credit Underwriter - Retail

<p>Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy.</p> <p><strong>A day in the life (Responsibilities)&nbsp;</strong></p> <h2><strong>Key Responsibilities</strong></h2> <ul> <li>Review financial statements (P&amp;L, balance sheet, cash flow) to evaluate the creditworthiness of counterparties in retail sector</li> <li>Calculate and interpret key ratios such as leverage, liquidity, and coverage to assess financial risk</li> <li>Write clear, concise credit memos with risk assessments and approval recommendations</li> <li>Determine reserve levels and set exposure limits based on the financial profile and risk tolerance</li> <li>Monitor counterparties for changes in financial health, operating metrics, or market signals</li> <li>Research and analyze existing debt obligations using public records, credit reports, or proprietary tools</li> <li>Identify and escalate key risk indicators to the Credit Committee, with supporting data and rationale</li> <li>Build and maintain monitoring frameworks tailored to different merchant risk profiles and business models</li> <li>Define and configure alerting mechanisms for early detection of deteriorating credit quality<br>Use SQL, Python, and business intelligence tools (e.g., Looker, Hex) to query and analyze risk data</li> <li>Work with Snowflake-based data environments to extract insights and develop risk dashboards</li> <li>Collaborate with data, finance, product and engineering teams to improve underwriting efficiency and transparency</li> <li>Stay up to date on macro trends, industry developments, and emerging credit risks across sectors<br><br></li> </ul> <h2><strong>Qualifications</strong></h2> <ul> <li>Bachelor's degree in Finance, Accounting, Economics, Data Science, or a related field; CFA or CPA a plus</li> <li>5+ years of experience in credit underwriting for counterparty risk, financial analysis, risk management, with a focus on SMBs preferred</li> <li>Strong foundation in financial modeling and credit ratio analysis</li> <li>Proficiency in querying and analyzing data using SQL, Python, and platforms like Hex and Snowflake</li> <li>Experience working with BI tools such as Looker, Tableau, or similar</li> <li>Demonstrated ability to make independent, data-backed underwriting decisions</li> </ul> <p data-pm-slice="1 1 []"><strong>AI at Toast</strong></p> <p>At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us