Enova: Analytics Manager

Use creativity and innovative techniques to enhance and improve current statistical processes/ methods, and coordinate, manage and review statistical modeling solutions.

enova Company: Enova
Location: Chicago, IL
Web: www.enova.com

Tracking Code: 1340-626

Apply online

Your head honcho: Sr. Manager of 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, Architecture and Platforms Analytics: 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 an Analytics Manager you will be one of Enova's most valuable resources. You will use creativity and innovative techniques to enhance and improve current statistical processes and methods. You will embody a standard to coordinate, manage and review statistical modeling solutions and analysis to determine validity, impact potential and business fit. You will be expected to communicate to senior management through discussion, presentations, and write-ups of results, recommendations and insights gained through data analysis to be used to develop strategic and operational plans.

It is imperative to have the ability to adjust on the fly as new information surfaces and priorities shift. You will demonstrate the ability to maintain a thorough understanding of Enova's products and businesses from a strategic standpoint, in addition to deep knowledge of underwriting/business analytics principles and strategies. You will facilitate close collaboration between team members and Technology & Operations groups on cross-functional projects to improve our verification processes. Most importantly you will manage a small team of statistical analysts/modelers.

You're right for this job if you have:
  • A Bachelor's degree or equivalent experience, required
  • At least 10 years of experience in an Analytics or related field
  • Advanced programming skills and the ability to write customized SAS (or other statistical tool) programs for meaningful data analysis
  • At least 5 years of experience directly managing 2 or more employees
  • Experience working with relational databases, such as SQL
  • Proficiency in spreadsheet applications and advanced use of statistical applications and databases
  • Advanced knowledge of statistical/econometric modeling
  • Must have strong business acumen and previous experience with process improvement as it relates to model building, automation, or other statistical methods.
  • Experience in project management
  • Willingness to take a very hands-on approach to model building

Kudos to you if you have:
  • A Master's degree or PhD in related field of study
  • Experience in Analytics at a financial institution
  • A strong understanding of delivering financial services through the Internet.
  • Proven experience leading a credit/risk analytics, or modeling team, where team members were responsible for quantitative analysis, and model building.