Verizon Predictive and Prescriptive Analytics Principal in Lake Mary, Florida
What you’ll be doing...
At Verizon, Finance is leading the formation of an advanced analytics arm that delivers world-class insights in driving business impacts through a data driven approach. This is a unique opportunity to be a part of a growing team in a fast-paced and evolving environment that works in close partnership with internal business partners to inform business strategies. We’re finding new ways to add value and provide strategic guidance and we want passionate and talented analytics practitioners to join us and be a catalyst for change.
This is a strategic analytical role within the Business Analytics Center of Excellence responsible for providing guidance to leadership at the highest levels for operational and strategic decision making. The incumbent will apply advanced QRM techniques in managing credit risk within Consumer and Business loan portfolio. This is a new role created to complement a growing team of data scientists and credit modelers in optimizing business strategies
Act as a quantitative risk management expert for Verizon’s Device Payment Loan portfolio, by developing and maintaining PD, EAD, LGD models and performing credit portfolio stress testing
Build and assess Customer Value Models and Survival models to fine tune on-going Credit and Fraud policies
Drive advanced analytics on loan portfolio and service receivables to model impacts of changing macro-economic conditions and comply towards US CECL
Provide strategic guidance for efficient planning on Bad-Debt performance and churn behaviors
Analytical Work Management:
Partner with internal business partners in gathering business requirements and developing advanced analytical solutions to complex problems
Hands on active participation in analytical projects and delivering improvements in predicting desired metrics to enable robust financial planning & decision guidance
Participate in discussions on portfolio resiliency and stress testing efforts to better prepare the business to changing economic conditions as well as adhere to new accounting standards
Prepare presentation materials and formal documents for use with senior management to promote findings and drive science based decision support recommendations
Modeling & Infrastructure:
Develop and deploy both traditional statistical models and machine learning techniques and algorithms: Regression, clustering, neural networks, Anomaly Detection, Random Forest etc. to improve prediction and forecasts of risk metrics
Partner with in-house data strategy experts to design analytically ready datasets by stitching customer data across multiple platforms and incorporating business rules
Periodically validate model performance and update models based on changing business strategies/objectives. Automation of repeatable tasks at scale
Develop strong relationships with business partners to transform the role of analytics to decision guidance (analytics as partner not as support function)
Partner with functional groups (Treasury, Commercial Finance, Operations, Marketing etc.) to embed analytics and science driven approach in all business decisions
Be recognized as a subject matter expert and participate inknowledge/best practice sharing opportunities
Continually broaden and strengthen knowledge of analytical methods, vendors and tools
What we’re looking for...
You’ll need to have:
Bachelor's degree in a quantitative discipline such as Financial Engineering, Mathematics, Statistics, Econometrics or Operations Research or four or more years of work experience.
Six or more years of relevant work experience
Experience Leveraging Quantitative Risk Management Techniques & predictive models to guide business decisions
Experience assessing impact of macro-economic scenarios on customer behavior and profitability
Experience assessing impact of Developing and implementing advanced analytical solutions to complex business problems
Experience in data management, analysis and visualization to realize absolute and incremental commercial gains
Even better if you have:
Master's degree in a quantitative discipline such as Financial Engineering, Mathematics, Statistics, Econometrics or Operations Research
Experience on usage of one of SAS/R/Python required with thorough knowledge of Linear/Logistic Regression, Survival models and decision tree models
Ability to develop advanced analytics in multiple platforms including AWS, Hadoop Clusters as well as Teradata
When you join Verizon...
You’ll have the power to go beyond – doing the work that’s transforming how people, businesses and things connect with each other. Not only do we provide the fastest and most reliable network for our customers, but we were first to 5G - a quantum leap in connectivity. Our connected solutions are making communities stronger and enabling energy efficiency. Here, you’ll have the ability to make an impact and create positive change. Whether you think in code, words, pictures or numbers, join our team of the best and brightest. We offer great pay, amazing benefits and opportunity to learn and grow in every role. Together we’ll go far.
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. Different makes us better.
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