Business Analyst Manager
On-site · Tampa, Florida, United States
Job Summary
Lead and develop a high-performing team of Data Analysis Associates to drive fraud detection and operational insights within JPMorganChase's Corporate & Investment Banking Payments Operations. Own the analytics roadmap for Reporting & Analytics across Core Cash and Commercial Card; collaborate with Product, Risk, and Operations; deliver executive-ready updates and changes with minimal client/operational disruption. Drive analytics, detect fraud trends, quantify impact, and explain algorithms to Management, Operations, Technology, and Compliance. Own end-to-end data pipelines (sourcing through consumption), automate ETL, manage UAT, releases, and audit-ready logs. Deliver reporting and visualization via dashboards and KPI views; strengthen controls, governance, and standardization. Manage delivery against SLAs, escalate as needed, and lead Agile ceremonies and product-owner activities; participate in hiring, onboarding, and cross-training for resilient coverage.
Required Qualifications
- Eight or more years of combined experience in data, analytics, or technology roles supporting fraud, risk, or operations
- Proven people leadership in coaching and developing team members through performance management, capacity planning, and effective delegation
- Demonstrated ability to conduct data analysis and interpret complex data sets; strong problem solving and storytelling with data
- Advanced proficiency in using automation/BI technologies to optimize processes and implement business strategies and controls
- Excellent communication and stakeholder management; service mindset with strong analytical skills
- Understanding of the software delivery lifecycle and industry-standard methodologies; familiarity with Agile ways of working
- Hands-on experience with JIRA for backlog management, dashboards, and reporting
- Undergraduate or Master’s degree in Business, Finance, Mathematics, Computer Science, or related field
- Experience with Alteryx, Tableau, Qlik/QlikSense or other BI tools to perform statistical/data analysis; dashboard-building experience
- Advanced Microsoft Excel skills (pivot tables, macros, lookups); proficiency with PowerPoint, Access, Visio, Word
- Understanding of business process/modeling concepts and governance/control principles; familiarity with data warehousing concepts (ETL, relational databases, big data such as Hadoop, S3)
- Domain experience in fraud detection/anomaly detection and optimization of fraud rules/strategies; familiarity with Commercial and Investment Banking fraud trends, patterns, and features
- Programming skills in SQL are a must; knowledge of Python and AWS Athena (or other cloud query engines)
- Exposure to payments and card domains, including core cash rails (ACH, wires, RTP, checks) and commercial card controls (MCC anomalies, chargebacks/disputes, spend controls)
- Experience working in Amazon Web Services cloud environments; GCP experience
- Aptitude and curiosity for ML-adjacent solutions, partnering with data science on feature ideation and experimentation
- Proficient ability to leverage AI tools, including effective prompt writing, to enhance analysis and provide actionable insights
- Experience in technology/process release management with strong documentation and UAT coverage; comfort owning applications/systems and running business-critical processes
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