When you join Verizon

Verizon is a leading provider of technology, communications, information and entertainment products, transforming the way we connect across the globe. We’re a diverse network of people driven by our ambition and united in our shared purpose to shape a better future. Here, we have the ability to learn and grow at the speed of technology, and the space to create within every role. Together, we are moving the world forward – and you can too. Dream it. Build it. Do it here.

What you’ll be doing...

We innovate constantly to help the biggest names in business do business – quicker and smarter. It takes vision. It takes focus. And we apply both every bit as much to the way we do business too. The brightest minds, the latest technologies and pioneering processes are combining to enhance this critical business function within our Business Analytics Center or Excellence. We’re finding new ways to add value and provide strategic support. This is the kind of work we do. And you can be part of it.

In this role, you will be responsible for providing analytical guidance and support to leadership for operational and strategic decision making in the Credit and Fraud space. Responsibilities will include the use of data analysis and statistical expertise to support various projects across all facets of the business, using technical skills to conduct analytical and predictive modeling exercises, as well as managing the technical aspects of Verizon’s acquisition and retention credit policies.

  • Build, maintain, and QA Verizon’s proprietary custom underwriting models and credit policies.
  • Design and assess customer consumer/prospect value models that seamlessly integrate with credit and fraud policies in order to turn statistical models into actionable strategies with quantifiable financial results.
  • Perform credit and member base KPI management (A/R liquidation, attribution, revenue/loss forecasting, model performance, customer value management, credit policy performance).
  • Perform business intelligence, data analysis, descriptive statistics and performance validation of existing and potential risk models.
  • Solve complex data-related questions by developing new predictive models and improving existing ones.
  • Research and develop new modeling techniques as required to solve novel business problems.
  • Determine modeling requirements in the development of standard data sets that will be used for analysis and data mining.
  • Participate in cross-functional project teams as subject matter expert in the development of credit risk models.
  • Effectively communicate technical subjects with peers and stakeholders at all levels of the business.

What we’re looking for...

You’ll need to have:

  • Bachelor's degree or four or more years of work experience.
  • Four or more years of relevant experience.
  • Predictive modeling experience in R and/or Python.

Even better if you have one or more of the following:

  • A Bachelor’s degree in mathematics, statistics, computer science, operations research, industrial engineering or a related field.
  • Proven written and verbal technical communication skills applicable to diversely specialized stakeholders at all levels of a finance organization.
  • Two or more years of experience in a data science/engineering role.
  • Two or more years of experience with predictive modeling in R and/or Python.
  • Knowledge of statistical forecasting and data mining techniques; demand pattern recognition, algorithm selection, outlier correction, parameter optimization.
  • Experience writing SQL against large Teradata and/or Oracle data sets.
  • Proficiency with commonly used business tools such as MS Excel and PowerPoint for data manipulation and report creation.
  • Proficiency with common Business Intelligence tools, such as Cognos, Business Objects, Tableau, Hyperion SSRS or others.
  • Strong familiarity with Git and Version Control.
  • Demonstrated ability to deliver results both independently and in collaboration with others.
  • Proven ability to adapt to changing priorities and meet deadlines.

Equal Employment Opportunity

We're proud to be an equal opportunity employer - and celebrate our employees' differences, including race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, and Veteran status. At Verizon, we know that diversity makes us stronger. We are committed to a collaborative, inclusive environment that encourages authenticity and fosters a sense of belonging. We strive for everyone to feel valued, connected, and empowered to reach their potential and contribute their best. Check out our diversity and inclusion page to learn more.