Indirect Lending Quantitative Risk Analyst Lead
$103,000–$171,600 year
On-siteBuffalo, New York, United States
Job Summary
Lead Retail Quantitative Analysts in portfolio deep dives, asset quality monitoring, and interpreting data with a risk management focus. Mentor junior team members on segmentation analysis, logistic regression, and data visualization while demonstrating working knowledge of Credit Risk databases. Perform data manipulation using SQL, SAS, and Microsoft Excel to present results and recommendations to Senior Management. Track portfolio performance, incorporate observations into existing models to improve predictive results, and identify risk-related issues needing escalation. Adhere to Company risk and regulatory standards, policies, and controls in accordance with the Company's Risk Appetite. Maintain internal control standards, including timely implementation of internal and external audit points together with any issues raised by external regulators.
Required Qualifications
- Bachelor degree in Mathematics, Statistics, Quantitative Analysis or another technical discipline, OR in lieu of degree, A combined minimum of 9 years higher education and/or work experience to include a minimum of 5 years relevant experience
- Master's degree in Mathematics, Statistics, Quantitative Analysis or another technical discipline, with minimum of 3 years relevant experience, OR in lieu of degree, A combined minimum of 9 years higher education and/or work experience to include a 3 years relevant experience
- Minimum of 5 years relevant experience Banking or Financial Services experience
- Experience with SAS, SAS Enterprise Miner and other Statistical Software Packages
- Advanced Knowledge of SQL and Microsoft Office
- Demonstrated ability to communicate complex concepts
- Demonstrated ability to manipulate and analyze data across large databases
- Minimum of 5 years relevant experience
Desired Qualifications
- Credit Analysis experience
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