Risk Management - Auto Risk Data and Reporting - Vice President
- Develop and implement the vision and strategy for auto risk data management and reporting.
- Partner with senior business leaders to identify and address emerging risk trends and reporting needs.
- Oversee the collection, validation, and maintenance of risk-related data across auto finance portfolios.
- Ensure data quality, consistency, and compliance with internal policies and regulatory requirements.
- Lead the design, development, and delivery of risk reports and dashboards for senior management, regulators, and other stakeholders.
- Oversee automation and process improvements in risk reporting to enhance efficiency and accuracy.
- Analyze portfolio performance, credit trends, and risk exposures to provide actionable insights.
- Collaborate with Risk, Finance, Technology, and Business teams to align data and reporting initiatives with business objectives.
- Serve as a subject matter expert on auto risk data and reporting for internal and external stakeholders.
- Ensure all risk data and reporting activities comply with relevant regulatory requirements
- Support regulatory examinations and audits by providing required data and documentation.
Required qualifications, capabilities, and skills
- Bachelor's degree in Finance, Business, Data Science, or related field
- Minimum 8+ years of experience in risk management, data analytics, or reporting within financial services or Auto Finance.
- Strong understanding of risk concepts, regulatory requirements, and data governance.
- 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 finance 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
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