About The Position

In Platform Solutions (PS), we power clients with innovative and customer-centered financial products. We bring the best qualities of a technology player and combine that with the best attributes of a large bank. Enterprise Partnerships, consumer financial products that companies embed directly within their ecosystems to better serve their end customers. RESPONSIBILITIES Perform and oversee advanced data analytics (e.g. machine learning) activities while monitoring portfolio health and identifying opportunities to drive industry leading fraud prevention and exceptional customer experience. Leverage advanced modeling, industry scores and partner signals to understand the drivers of the fraud risk and identify solutions for loss mitigation while balancing the risk of abandoned applications from step-up authentication. Deploy effective strategies for early month-on-book accounts to detect accounts that may have been opened under ID Theft and provide cases for Fraud Investigations to review and reduce the severity of confirmed fraud claims. Account opening and transactional fraud strategy ownership for partner finance product. This includes the extensive use of proprietary partner signals, product and store level opportunities to detect and mitigate losses while ensuring customer experience meets expectations. Work closely with Business, Product, Technology, Operations, and Compliance teams to implement solutions and improve the identification of high-risk accounts, deploy countermeasures for emerging fraud risks, and monitor overall health of the lending program. Provide analysis, design strategies for strategic projects and drive end-to-end project delivery. Prepare executive presentations, lead strategy and capability planning, and organize team meetings and activities.

Requirements

  • Prior work experience must include five (5) years (with a Master’s degree) OR seven (7) years (with a Bachelor’s degree) with each of the following:
  • Working in a business analyst and project management role within the financial services sector.
  • Analyzing data trends, utilizing forecasting methods such as Time Series analysis, and leveraging Machine Learning techniques such as Gradient Boost and Random Forest to perform deep dive and understand drivers and trends.
  • Defining functional requirements, service level projects (SLOs), quality-related measurements and scenario-based use cases in support of the product or project management lifecycle.
  • Process re-engineering and workflow design.
  • Working with desktop platforms and applications, ensuring overall availability, while factoring in upstream or downstream system dependencies.

Responsibilities

  • Perform and oversee advanced data analytics (e.g. machine learning) activities while monitoring portfolio health and identifying opportunities to drive industry leading fraud prevention and exceptional customer experience.
  • Leverage advanced modeling, industry scores and partner signals to understand the drivers of the fraud risk and identify solutions for loss mitigation while balancing the risk of abandoned applications from step-up authentication.
  • Deploy effective strategies for early month-on-book accounts to detect accounts that may have been opened under ID Theft and provide cases for Fraud Investigations to review and reduce the severity of confirmed fraud claims.
  • Account opening and transactional fraud strategy ownership for partner finance product. This includes the extensive use of proprietary partner signals, product and store level opportunities to detect and mitigate losses while ensuring customer experience meets expectations.
  • Work closely with Business, Product, Technology, Operations, and Compliance teams to implement solutions and improve the identification of high-risk accounts, deploy countermeasures for emerging fraud risks, and monitor overall health of the lending program.
  • Provide analysis, design strategies for strategic projects and drive end-to-end project delivery.
  • Prepare executive presentations, lead strategy and capability planning, and organize team meetings and activities.

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What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Number of Employees

5,001-10,000 employees

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