Predictive Modeling Manager
Jersey City, NJ, USA | Fiserv
Functions:IT / Information Technology
Job Description:53 people have viewed this job
You’ll be a pivotal part of a central Decision Science team, responsible for developing and deploying predictive models in the form of automated risk controls that help in reducing fraud and credit risk losses while boosting digital customer acquisition experience. The team is currently focused around Merchant Risk function (including new merchant underwriting and monitoring risk for existing merchants), and selectively expanding on other Fiserv owned businesses such as Money Network and broader risk based product solutions.
Independent Model Validation of Fiserv’s models by bank partners is becoming increasingly important and with increased management focus and visibility. Our ability in supporting our partner banks to successfully navigate our models through their internal model validation program is very important for ongoing credibility and success of this team and the model program.
You’llbe specifically responsible to support the model validation effort by partner banks of Fiserv Credit/Risk models especially focused on the model validation program of one of Fiserv’s key Joint Venture portfolio. In addition this role will also play an important role in developing data driven capabilities and implement automated decisions through the use of existing and new data, advanced analytics and AI / ML based predictive models.
We'll help you:
· Become a key enabler in developing best in class predictive models and develop data driven capabilities and implement automated decisions through the use of existing and new data, advanced analytics and AI / ML based predictive models
· Get great exposure to the payments industry, the merchant and transaction data that flows through the payment network as we apply innovative techniques to prevent fraud and credit losses, and grow the business.
You can look forward too:
•Designing and implementing ML / predictive models by utilizing internal and external data available and applying statistical techniques
•Tracking and monitoring model performance and provide analytical support to business partners for addressing their questions regarding auto decisions / alerts through informed analytics
•Evaluating and integrating data from internal and external sources to support modeling, analytics and reporting
•Proactively using data to generate useful insights by assessing key performance indicators / trends and present to business leaders
•Partnering with business and technical SMEs to understand relevant data, analyze and perform necessary deeper-dives to solve given business problem, summarize and present key findings
•Supporting the transformation of risk data capabilities and decision systems through advanced and sustainable technology, new data sources and real-time decisioning
•Integrating and validating new data sources and attributes in Analytical Sandbox and Production Platforms
•Implementing fraud and credit risk ML / predictive models and decision rules in production in partnership with IT / deployment teams
•Designing and implementing PII data matching and positive / negative account linking algorithm, reduce false-positives and measure efficacy at use-case level
You're the kind of person who:
•Loves to collaborate
•Can roll up their sleeves and make an impact
•Has superb communication and interpersonal skills
•Is highly analytical - data driven
•Can work on multiple projects while still meeting deadlines
Basic Qualifications for Consideration:
•Bachelor’s degree required in a quantitative discipline (Mathematics / Economics / Computer Science / IT).
•Minimum of five years of hands-on experience in one or more of the following areas: risk / marketing data analytics, predictive modeling
Minimum of five years of hands-on experience on AI / ML techniques
•Strong technical skills and problem solving ability with proficiency in SQL/SAS, Minimum of five years experience withopen-source programming languages such as R or Python
•Client facing experience and the ability to clearly communicate complex technical specifications to clients and implementation teams
•Ability to work on multiple projects on a concurrent basis and be able to meet deadlines under minimal supervision
•Ability to work in a team environment and to collaborate with other internal staff and external vendor / partners
Preferred Skills, Experience, and Education:
•Master's Degree preferred in big data
•Exposure to and knowledge of statistical / financial modeling in FINTECH / payments domain
Travel: Up to 10 percent after pandemic restrictions are lifted
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