Auto Risk portfolio monitoring and analytics : Associate

Description

Role Overview

Key Responsibilities

• Develop analytics and reporting to help the Dealer Commercial Services Risk organization monitor dealer performance, ficial health KRIs, audit resolution, originations, attrition, inventory aging, and concentration risks.


• Support month-end reporting for executive forums (EMR, ARC, DCS Risk Forum).


• Oversee credit management activities, focusing on anomalous portfolio trends, audit insights, and data validation for dashboards and technology migrations.


• Identify opportunities to integrate insights across Auto Retail and Commercial businesses.


• Partner with business leaders to identify and address emerging risk trends and reporting needs.


• Ensure data quality, consistency, and compliance with policies and regulatory requirements.


• Lead the design, development, and delivery of risk reports and dashboards for senior management, regulators, and other stakeholders.


• Collaborate with Risk, Fice, Technology, and Business teams to align data and reporting initiatives with business objectives.


• Serve as a subject matter expert on risk monitoring for internal and external stakeholders.


• Support regulatory examinations and audits by providing required data and documentation.

Candidate Profile

• Broad understanding of ficial services, risk management, and auto portfolios (retail and commercial).


• Strong documentation, organizational, and attention-to-detail skills.


• Effective communicator, able to present complex information clearly to all management levels.


• Collaborative team player, comfortable working virtually and across functions.


• Self-motivated, proactive, and able to work independently.


• Committed to productive teamwork and information sharing.

Qualifications

• Bachelor s degree in Fice, Business, Data Science, or related field


• Minimum 5+ years of experience in risk management, data analytics, or reporting within ficial services or Auto Fice.


• Strong understanding of risk concepts, regulatory requirements, and data goverce.


• Project Management Skills -- well-organized, structured approach. Ability to achieve tight timelines on complex deliverables. Ability to manage and prioritize projects across cross-functional groups


• Proficiency in analytical languages (e. g. , SAS, Python, SQL)


• Proficiency in data visualization tools (e. g. , Tableau, Power BI).


• Excellent communication, problem-solving, and stakeholder management skills.

Preferred qualifications, capabilities, and skills

• Experience with auto fice products and portfolios.


• Familiarity with regulatory frameworks (CCAR, CECL, Basel).


• Advanced proficiency in SQL, Python, or other data analysis tools.


• Proficient with storytelling of data and insights