Your head honcho: Manager of Portfolio Analytics

Our Analytics team:

Enova's Analytics team consists of over 50 quantitative professionals dedicated to using the latest cutting-edge techniques to drive business value.  We are a shared service for the entire company and operate in four core Analytics workgroups:

• Portfolio Analytics –we focus on building cutting edge risk, pricing, and underwriting models to optimize our lending decisions by using advanced modeling and simulation techniques to optimize the performance of our loan products and operations.
• Fraud Analytics – analysts on the fraud team use advanced data mining techniques to identify and fight online fraud.
• Marketing Analytics – the marketing analytics team is focused on applying statistical analysis and predictive modeling to help our marketing teams acquire and retain more valuable customers.
• Research and Platforms- the RAP team builds and maintains all of our technical tools and platforms. They help investigate new analytics methodologies, use cases, and data sources, to institute new and best practices within the department.

At Enova we have a company-wide culture that emphasizes data-driven analysis. That means you spend less time presenting and more time with the fun part, crunching data!

We speak this language:

We are language agnostic, but primarily use SAS, Python, R, SQL and Mathematica. That means YOU get to pick the tool that works best for you and the analysis at hand.

This is where YOU come in:

As a Portfolio Analytics Analyst II you will be one of Enova’s most valuable resources.   You will develop, enhance and test the company’s models for use in determining the appropriate lending criteria and verification procedures. At times, you may be asked to conduct ad hoc analysis using statistical and financial tools to recommend for risk management, marketing and operational strategies. You will demonstrate the ability to interpret and organize data, and communicate it effectively to cross functional teams to solve business problems, provide requirements and support implementation. And through all of this, you’ll mentor analysts and disseminate your technical knowledge throughout the Analytics team.

You’re right for this job if you have:

• a Bachelor's degree or equivalent experience, required
• a quantitative discipline; primarily we look for educational backgrounds in mathematics, statistics, operations research, quantitative finance, physics, engineering and computer science.
• advanced programming skills and the ability to write customized programs for meaningful data analysis. (Python, R and/or SAS are preferred)
• working knowledge of SQL
• advanced knowledge of predictive modeling

Kudos to you if you:

• obtain Master’s degree or PhD in related field of study
• have experience in analytics at a financial institution
• have a strong understanding of delivering financial services through the Internet.