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$150,000–$208,631.
Based on 240 similar postings.
Employer
About JPMorgan Chase
JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.
JPMorgan Chase currently has
1098 open roles
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The Point of Sale Fraud Strategy role involves managing deposit account fraud losses for Consumer and Business Bank segments through advanced analytics and reporting. You will identify loss mitigation opportunities based on fraud patterns, lead team strategy development, and collaborate with product owners to provide data-driven insights regarding emerging trends. The position requires contributing to technical projects by providing strategic design recommendations while partnering with the Risk Modeling team to refine machine learning models and predictive variables. Day-to-day tasks include data mining, ensuring data integrity, and communicating actionable findings to senior management across Operations, IT, and Risk Management. You will utilize SQL for database management and Python, SAS, and R for statistical analysis, including logistic regression and XGBoost. Additionally, you will build interactive dashboards using Tableau, Power BI, Hyperion Essbase, Excel, and PowerPoint to solve complex business problems.
Manage deposit account fraud losses through advanced analytics and reporting to identify mitigation opportunities.
Develop and implement strategies based on fraud and authorization patterns.
Provide data-driven insights and storytelling regarding emerging fraud trends to product owners.
Partner with the Risk Modeling team to refine machine learning models and predictive variables.
Improve internal analytical methodologies by incorporating industry best practices.
Perform data mining and synthesize findings into actionable insights for senior management.
Interpret complex data to formulate problem statements and report on risk dynamics.
Mentor internal teams and coordinate activities with external consultants and vendors.
What we're looking for
Master's degree in Business Analytics, Project Management, Statistics, Data Science, Engineering, or a related field plus 5 years of relevant experience.
Bachelor's degree in Business Analytics, Project Management, Statistics, Data Science, Engineering, or a related field plus 7 years of relevant experience.
Experience in Point of Sale Fraud Strategy, Engineer Data Science, Software Engineer, or related occupations.
Five years of experience designing and optimizing SQL queries, including stored procedures, functions, triggers, and views for large datasets.
Five years of experience using Python, SAS, and R for data acquisition, cleansing, manipulation, and building machine learning models like XGBoost.
Five years of experience performing statistical analysis, including logistic regression, multivariate regression, classification, cohort analysis, and predictive modeling.
Five years of experience applying descriptive, predictive, and prescriptive analytics using SAS and Python to solve business problems.
Five years of experience developing interactive reports and dashboards using Tableau, Power BI, Python, SAS, Hyperion Essbase, Excel, and PowerPoint.