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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.
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As part of the Commercial & Investment Banking Payments Operations organization, the Vice President — Commercial Card & Prepaid Card Fraud Strategy Manager leads a team responsible for fraud risk management across Commercial Card and Prepaid Card portfolios. The role involves identifying emerging fraud trends through quantitative and qualitative analysis while developing, optimizing, and monitoring detection strategies to balance fraud prevention with client experience and operational efficiency. Key responsibilities include managing a team of analysts, partnering with Product, Technology, and Data Science teams to enhance capabilities, and overseeing end-to-end strategy implementation. Required skills include proficiency in SQL, Python, R, SAS, Tableau, Qlik, or Alteryx, alongside experience with JIRA and Agile methodologies. The role addresses the critical business problem of mitigating fraud risk within the commercial banking and payment ecosystems while maintaining robust control frameworks and data architecture standards.
Manage fraud detection performance for Commercial and Prepaid Card portfolios to balance risk, customer experience, and operational efficiency.
Lead and develop a team of fraud strategy analysts through coaching, performance management, and capacity planning.
Identify emerging fraud trends using quantitative and qualitative analysis to develop and optimize detection rules.
Partner with Product, Technology, and Data Science teams to design and implement fraud prevention capabilities.
Manage end-to-end strategy implementation including business requirements, testing, release management, and post-implementation validation.
Drive continuous improvement through root-cause analysis, process optimization, and control standardization.
Provide executive-ready insights and data-driven recommendations to senior leadership and cross-functional stakeholders.
What we're looking for
Bachelor's degree in Business, Finance, Mathematics, Computer Science, Statistics, or a related discipline.
8+ years of experience in fraud strategy, analytics, product management, risk management, or related functions supporting financial services, payments, or operations.
Proven leadership experience managing and developing analytical teams, including performance management and talent development.
Strong project and stakeholder management skills with hands-on experience in Agile methodologies and JIRA.
Experience with business process modeling, governance, control frameworks, and data architecture concepts like ETL and relational databases.
Advanced technical skills with hands-on experience in SQL and platforms such as Tableau, Qlik, Alteryx, Python, R, or SAS.
Experience designing fraud detection strategies and risk controls within commercial banking or payments environments (preferred).
Knowledge of card processors, networks, and machine learning concepts (preferred).
Python
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H2O
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AWS
Conda
Scala
R
Machine Learning
Deep Learning
Relational Databases
Big Data
Time Series
Sentiment Analysis
Clustering
Classification
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JIRA
SQL
Machine Learning
API Design
Swagger
ISO 20022
JSON
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Data Analytics
Fraud Detection Systems
Rule Engines
Product Roadmap
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Wire
ACH
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