Verizon Lead Cslt-Pred Presc Analytics in Boston, Massachusetts
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 via advanced analytics. We’re finding new ways to add value and provide strategic support and we want passionate and talented analytics practitioners to join us and be a catalyst for change.
This is a new role being created within the Business Analytics Center of Excellence to join data scientists, big data engineers and quantitative risk management specialists for the development, maintenance, and QA of credit and collections models using internal and external credit third party data (bureaus and credit reporting agencies). This role requires strongunderstanding of risk management fundamentals, statistical methods, machine learning techniques, and cloud computing. The role provides a great opportunity to understand the big picture and develop creative solutions by bringing Finance, Technology and Analytics together and build next generation tools for effective decision guidance and management.
Develop New CustomerAcquisition credit models for Wireless Business segment
Optimize score-cuts and credit offers that adhere to Verizon'sfinancial hurdles and constraints
Develop collections and churn modelsto optimize recoveries and bad-debt
Identify areas to optimize customer level decisions and develop experimental designs to inform on-going strategies
Additional responsibilities include:
Periodically validate model performance and update models based on changing business strategies/objectives. Automation of repeatable tasks at scale
Prepare presentation materials and formal documents for use with senior management to promote findings and drive science based decision guidance
Partner with in-house data strategy experts to design analytically ready datasets by stitching customer data across multiple platforms and incorporating business rules
Develop and deploy both traditional statistical models and machine learning techniques and algorithms including Regression, clustering, neural networks, Anomaly Detection and Random Forest to improve prediction and forecasts of desired metrics
Hands on active participation in analytical projects delivering improvements in predicting desired metrics and decision engineering to drive better business results
Partner with internal business partners in gathering business requirements and developing advanced analytical solutions to complex problems
What we’re looking for...
You’ll need to have:
Bachelor’s degree in quantitative and/or technology disciplines such as Mathematics, Statistics, Financial Economics/Econometrics, Computer Science, or Operations Research or four or more years of work experience.
Six or more years of relevant work experience.
Experience Developing and implementing advanced analytical solutions in Credit Risk Management/Quantitative Financial Analytics across lending and financial services
Experience leveraging Quantitative Risk Management Techniques & predictive models to guide business decisions
Experience developing, and putting into production credit and/or collections models using trade line data provided by a credit reporting agency.
Experience in statistical modeling using R/Python or other related tools. Data management, analysis and visualization to realize absolute and incremental commercial gains
Even better if you have:
Master'sdegree in quantitative or technology disciplines.
Experience in building high performance and scalable applications with exposure to Big Data Tools and Technologies (Hadoop, Hive, Spark, HBase, Kafka etc.)
An Entrepreneurial mindset with ability to explore and adapt novel solutions in a fast-paced environment.
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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