VP/Director--Risk Analytics

Company Name:
CM Enterprises
The VP/Director of Risk will lead the Risk Department ("Risk") and is directly responsible for developing and overseeing a team of risk analysts and statistical modelers. The Risk Department is responsible for the management of analytical reporting and data analysis in support of all business lines.. In addition, Risk will lead the efforts of measuring and monitoring all aspects of credit quality and portfolio performance, as well as the development of scorecards and predictive models. The VP/Director role requires an exceptional blend of problem solving, business acumen/context and expert analytical skills to derive actionable items from data, as well as proven leadership and mentoring skills. This person should be capable of developing a deep understanding of the Company's business and work closely with cross functional teams, including executive management, to recognize both risks and opportunities while improving the business processes within each department.
Candidates should be comfortable with high-growth environments and expected to concurrently manage multiple complex projects and thrive in a fast-paced dynamic organization. Focus will be in the areas of risk assessment, data mining, quantitative and statistical analysis, reporting and business intelligence, forecasting and modeling, credit risk / scorecards and collection policy and strategy. This position reports directly to the SVP Strategic Development & Risk.

Primary Duties and Responsibilities:

Develop a team of high performing analytics specialists who are skilled at leveraging data to build compelling customer and business insights.
Develop and maintain working relationships with cross functional teams. Communicate project status and develop a detailed understanding of business requirements across both business areas and project initiatives.
Be a thought leader within the organization, utilizing analytical tools to drive insights.
Responsible for developing collection optimization strategies and monitoring.
Analyze and forecast originated portfolios, including predicting loss and delinquency.
Review current business practices and make recommendations on changes based on cost/profitability
Design, develop and implement risk models and strategies for account management, underwriting, collections, profitability, and customer relationship management.
Work together with finance, structured finance and cost management in financial forecasting and trend models and analysis.
Collaborate and coordinate clear direction for the company's long-term growth plan using business intelligence and market feedback.
Perform portfolio analyses to identify patterns and improvements in the areas loss frequency and overall risk mitigation.
Independently develop techniques for data collection, data mining, analysis and presentation of findings.
Utilize data to predict losses, forecast ROA, and appropriately price for credit risk in order to maximize net income.
Experience in developing cash flow and forecasting models (NPV, break even analysis, profitability optimization).
Perform other projects as required

Required Skills:
4-Year degree in quantitative fields such as Statistics, Mathematics, Engineering, Economics or related field required.
Graduate degree in Business (MBA) or quantitative field preferred.
Minimum of 10 years' experience in quantitative role(s).
Consumer finance experience required, indirect auto lending strongly preferred.
Superior communication skills and ability to successfully interact with internal clients, business partners, automotive dealers, and outside investors.
Considerable knowledge of business management, operations, and budgeting.
Exceptional organizational skills with the ability to handle multiple, high priority projects with a keen attention to detail and within a highly demanding environment
The ideal candidate has significant hands-on experience in developing a risk department within a subprime entity. The candidate will have experience in high-growth company environments where creative solutions and cross-functional teams are required. Demonstrating an honest, professional, ethical standard is essential.

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