JPMorgan Fraud Strategy Business Analysis Associate 

United States, Illinois, Elgin 

946512769

As a Business Analyst in the POS Fraud Strategy Team, you will manage fraud risk strategies on the Commercial & Prepaid Card portfolios. Blending skills of complex large scale data analysis and business acumen, you will perform complex risk analyses with the objective of reducing fraud related losses while balancing customer impact. This role will require frequent interaction and communication with cross-functional partners and presentation to managers and executives. You will excel at creative thinking and problem solving, be self-motivated, confident, and ready to work in a fast-paced energetic environment.

Job Responsibilities:

• Interpret large amounts of complex data to formulate problem statement, concise conclusions regarding underlying risk dynamics, trends, and opportunities
• Manage, develop, communicate, and implement optimal fraud strategies (including rules, cutoffs, policies, operational flows, etc.) to protect the bank from fraud related losses and improve customer experience at Point of Sale
• Identify key risk indicators and metrics, develop key metrics, enhance reporting, and identify new areas of analytic focus to better capture fraud.
• Provide subject matter expertise on strategy implementation/testing and initiatives related to the improvement of risk mitigation processes and infrastructure
• Ability to work collaboratively with cross-functional partners to understand and address key business challenges
• Identify business opportunity by performing well thought analysis – data mining, ensuring data integrity, synthesizing and communicating findings to senior management
• Assist team efforts in the critical development of new fraud pattern or spending pattern detection tools
• Providing clear/concise oral and written communication across various functions and levels, inclusive of Operations, IT, and Risk Management

Required Qualifications, Capabilities and Skills:

• Bachelor's and/or Master's degree (OR related work experience) in a quantitative discipline within a financial services organization
• 2+ years experience in fraud/risk/payments or related field
• Proven track record performing complex statistical analysis to solve business problems in a well-organized, structured approach.
• Ability to achieve tight timelines on complex deliverables.
• Required technical skills include leveraging Alteryx, Python, SQL, SAS, Spark to extract data from Hadoop, Hive, Teradata, SQL Server, and Oracle environments
• Skills in UNIX and MS Office related products including Excel, OneNote, PowerPoint, Teams, and Word (experience in pivot tables, charts/graphs, and formulas are also required)
• Must be a team player; Excellent relationship management skills
• Self-starter with ability to drive for resolution
• Strong communication and interpersonal skills with ability to interact with individuals across departments / functions and with senior-level executives
• Strong knowledge and understanding of financial services.