Strategic Analytics [Multiple Positions Available]

JPMorganChase•Plano, TX
•Onsite

About The Position

The Strategic Analytics position develops solutions to fraud-related challenges and drives innovation in fraud risk strategies through continuous improvement. The role analyzes large, complex datasets to monitor and identify behaviors and trends in fraudulent activity, and develops fraud-fighting products, including machine learning models, by defining requirements and partnering with technical business teams using agile design methodology. It produces regular reports and dashboards communicating fraud risk metrics and trends to stakeholders, and works with stakeholders to design solutions, develop requirements, and test implementation of strategies. The position supervises Strategic Analytics employees by delegating tasks, monitoring performance, and providing training, mentorship, and feedback. It currently supervises one Associate, Strategic Analytics; another Associate is scheduled to begin reporting to the role in mid-August 2026, and an open Senior Associate, Strategic Analytics position would also report to it. Supervisory authority includes hiring, disciplining, evaluating performance, recommending promotions, and terminating employees. The job is located at 8181 Communications Parkway, Plano, TX 75024.

Requirements

  • Bachelor's degree in Management Information Systems, Data Science, Analytics, Computer Information Systems, or a related field.
  • Six years of experience in the offered job or as Strategic Analytics, Fraud Risk/Strategy Analyst, Risk Manager, Portfolio Consultant, or in a related occupation.
  • Four years of experience driving strategy and execution of data-driven loss mitigation strategies, including credit and fraud risk prevention for digital payments.
  • Four years of experience performing data manipulation, data structuring, data design flow, and query optimization using SAS, SQL, and Python.
  • Four years of experience using Microsoft Excel pivot tables and VLOOKUPs and linking data to files to analyze datasets.
  • Four years of experience managing portfolio-level strategies for credit- or fraud-risk-related projects that balance business outcomes against customer experience metrics, which can include customer lifetime value, retention rates, complaints, abandonment, approval rates, and resubmissions.
  • Four years of experience developing analytical frameworks to manage credit and fraud risk loss.
  • Four years of experience developing and driving strategic initiatives such as portfolio risk or charge-off optimization, alert rate optimization, and new technology business cases.
  • Four years of experience identifying, prioritizing, and managing opportunities, a book of work, and overarching organizational goals.
  • Four years of experience reviewing, recommending, and deciding on loss-prevention tactics, including assessing their impact on downstream customer experience and business outcomes.
  • Four years of stakeholder management experience.
  • Four years of experience analyzing technical loss-mitigation data, presenting results to non-technical audiences including senior stakeholders, and defending analysis and recommendations to senior stakeholders.
  • Four years of experience working with and influencing cross-functional teams, including product and operations teams, to drive risk-prevention strategies to completion.
  • Four years of experience managing a team, including delegating tasks, overseeing performance, and providing training and mentorship.

Responsibilities

  • Develop creative solutions to challenges presented by fraud activity.
  • Drive innovation in fraud risk strategies through continuous improvement initiatives.
  • Analyze large amounts of complex data to monitor and uncover behaviors and trends in fraudulent activity.
  • Develop fraud-fighting products, including machine learning models, by designing requirements and working with technical business partners to implement them using agile design methodology.
  • Generate regular reports and dashboards communicating fraud risk metrics and trends to stakeholders.
  • Work with stakeholders to design solutions, develop requirements, and test implementation of strategies.
  • Delegate tasks, monitor employee performance, and provide training, mentorship, and feedback.
  • Hire, discipline, evaluate performance, recommend promotions, and terminate supervised employees.
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