The opportunity
We are a rapidly growing company that’s revolutionizing the way the restaurant industry does business by pairing technology with an extraordinary commitment to customer success. We help restaurants streamline operations, increase revenue, and deliver amazing guest experiences…
What you'll do
CECL Reporting: Oversee the monthly CECL calculations and reporting process, collaborating closely with accounting and strategic finance teams to ensure the robustness of methodology and accuracy of loss reserve calculations.
Loss Forecasting: Refine existing loss forecasting models / methodologies which feed into monthly CECL calculations, to improve the overall accuracy and stability of forecasts. Develop loss projection and expected loss estimation methodologies for revolving products (e.g. credit card).
Portfolio Risk Strategy: Define, implement, and continuously improve the portfolio risk management strategy (including collections), ensuring alignment with company appetite.
Risk Reporting and Monitoring: Develop and maintain a comprehensive and timely reporting framework to provide risk visibility to management, ensuring that risk and return are optimized and in line with company goals. Define and monitor key KPIs
Emerging Risk Identification and Mitigation: Proactively identify emerging risks and propose data-driven mitigation solutions to minimize potential losses and optimize returns.
Cross-Functional Collaboration: Foster strong partnerships with Product Management, Operations, Engineering, Data Science, Accounting, and Strategic Finance teams, driving alignment and facilitating data-driven decision-making.
What they're looking for
- Policy Management: Maintain and update CECL methodology documents and procedures, ensuring compliance with regulatory and audit requirements.
- + years of experience in consumer or small business lending in a quantitative: risk strategy / analytics role, with hands-on experience in loss forecasting and expected loss estimation.
- Quantitative degree (Mathematics/Statistics/Economics/Operations Research): preferred, Masters Degree or MBA a plus
- Proficiency in SQL and Python/R, with experience in data visualization tools such as Hex/ Tableau/Looker/Sigma
