Business Analysis Associate I - Fraud Strategy & Analytics
Overview
Lead data-driven fraud detection solutions within JPMorgan Chase's Fraud Strategy and Payments Operations team. Drive fraud prevention strategies by analyzing complex datasets and proposing innovative analytical approaches. Collaborate cross-functionally to align technical initiatives with business objectives. Impact team performance through actionable insights and process improvements.
What You'll Do11
- 1Own end-to-end development of data analytics solutions for fraud detection
- 2Analyze complex datasets using advanced analytics to identify fraud patterns
- 3Design and implement predictive models to enhance fraud risk assessment
- 4Deliver actionable reports supporting executive decision-making processes
- 5Mitigate risk through root cause analysis and continuous process optimization
- 6Collaborate with Technology and Operations teams to deploy new fraud prevention capabilities
- 7Maintain robust governance frameworks for data and risk management
- 8Drive business requirements for automated fraud detection systems
- 9Utilize automation technologies to streamline analytical workflows
- 10Enhance customer interactions through digital process improvements
- 11Champion data literacy across cross-functional teams
Requirements11
- 1Undergraduate or Master's degree in Analytics Data Science Mathematics Finance Business Computer Science or related quantitative field
- 2Demonstrated ability to conduct data analysis with at least 4 years relevant experience
- 3Advanced Microsoft Excel proficiency with experience in SQL database querying
- 4Knowledge of Python or alternative programming languages preferred
- 5Experience with BI tools such as Tableau Alteryx Qlik or similar platforms
- 6Familiarity with AWS cloud environment for scalable solutions
- 7Proficiency in JIRA for agile project management
- 8Experience in fraud detection anomaly detection and rule development
- 9Understanding of core cash payment products including ACH Wire and RTP
- 10Strong interpersonal skills for collaborative problem-solving
- 11Preferred knowledge of machine learning Large Language Models and automation technologies
Salary Insight
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Location
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