Title: VP, Portfolio Analytics

Standard Hours: 40

Primary Location: Home Office

Reports to: CMO, Chief Marketing Officer, Indirectly to Executive Leadership Team

The VP of Portfolio Analytics is a key member of CU Student Choice’s senior leadership team. This highly skilled and experienced professional works collaboratively with clients and stakeholders across the organization to provide complex business analysis, modeling, and strategic reporting for a $2+ billion consumer loan portfolio. This person will analyze portfolio risks and returns, delivering insights that will improve customer experience and drive business growth. This person must leverage both technical and non-technical communication skills to deliver pertinent information to key stakeholders, including clients, Executive Management, and the Board of Directors.

Primary Responsibilities

• Provide comprehensive analysis, modeling, and reporting on key business initiatives, including account acquisition, credit policy and underwriting, business development, product development, collections, financial forecasting, borrower segmentation, marketing campaigns, champion /challenger testing, and portfolio attrition.

• Continuously assess and report on loan credit quality and portfolio performance trends.

• Manage analytical projects from design to presentation, ensuring findings are effectively communicated.

• Deliver business intelligence and KPI reporting to clients, Executive Management, and the Board of Directors.

• Assist in the development and implementation of new models and methods for driving business growth, such as alternative underwriting data, cash flow analysis or custom credit scoring.

• Develop strong partnerships with IT, Operations, Business Development, Marketing, and Compliance to enhance business processes and advance business growth opportunities.

• Support the forecasting and reporting of key credit and financial metrics for budget projections and client cash-flow / ROA modeling.

Requirements:

• Bachelor’s degree in relevant quantitative field such as Economics, Finance, Statistics, Mathematics, Computer Science, or Business. An equivalent combination of education and experience may be considered in lieu of relevant quantitative field.

• 4+ years of extensive experience in complex, data-driven analysis and problem solving, preferably in consumer lending / financial services.

• Experience with statistical analysis and predictive modeling tools like Machine Learning, SAS, R or JMP preferred.

• Strong collaborative and proactive working style.

• Superior written, verbal and presentation skills.

• Be inquisitive and attentive to detail.

• Capital Markets experience a plus.

Work Conditions:

• Sitting for extended periods of time

• Dexterity of hands and fingers to operate a computer keyboard, mouse, and other devices

• Physically able to participate in training sessions, presentations, and meetings

• Some travel is required for meeting with management, employees, venders and occasionally credit union clients

EEO/AA