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Analytics Manager
2 months ago
Job Summary:
The Analytics Manager - Dealer Retail Services will oversee the analytics processes for one or more channels within Dealer Retail Services (DRS) by utilizing analytical and statistical techniques to support credit policy, loss forecasting, pricing, origination scoring, fraud risk scoring, automated decisioning, default management, dealer management, sales segmentation, etc.
Key Responsibilities:
- Develop models or collaborate with model developers/vendors to support custom origination scoring, fraud risk scoring, and elasticity modeling used in pricing. Support model monitoring and governance requirements of predictive models and quantitative decision tools as required by the model risk group.
- Understand and quantify the risk return tradeoffs and build analyses related to the credit box to support pricing, credit policy, loss forecasting, and other general changes in risk appetite.
- Create efficiency by building and maintaining automated production of interactive reporting dashboards for DRS senior leadership and business stakeholders for various areas of lending operations, including credit & servicing/collections.
- Work on a variety of other analyses to support multiple areas of the business, including default management, dealer management, and sales management, etc., including critical business activity reporting for use by channel SMEs to track detailed performance.
- Communicate analytics design and results to other risk teammates as well as other stakeholders within the bank to build consensus-based decisions.
- Participate in DRS risk and strategic analytical projects. This role will play an active role to lead the design and execution of projects for single-channel initiatives and actively participate in broader projects that span across all of DRS.
- Organize and maintain key data, metrics, and benchmarks describing production, portfolio, and dealer performance and efficiency attributes. Recommend and/or support DRS transformation strategies and initiatives based on analysis of the data.
- Identify and evaluate new data sources and vendors to provide the best information for effective analysis and decision-making.
Requirements:
The ideal candidate will have a strong background in analytics, risk management, and data insights. They will be able to communicate complex analytical results to stakeholders and build consensus-based decisions. The candidate will also have experience working with predictive models and quantitative decision tools.
Benefits:
Truist offers a comprehensive benefits package, including medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax-preferred savings accounts, and a 401(k) plan. Teammates also receive no less than 10 days of vacation (prorated based on date of hire and by full-time or part-time status) during their first year of employment, along with 10 sick days (also prorated), and paid holidays.
Equal Opportunity Employer:
Truist is an Equal Opportunity Employer that does not discriminate against individuals on the basis of race, gender, color, religion, citizenship or national origin, age, sexual orientation, gender identity, disability, veteran status, or other classification protected by law.
