Data Security Investigations is responsible for identifying and analyzing employees viewing and taking action on JPMorgan Chase deposit accounts, debit cards, and credit cards in order to identify internal fraud and/or code of conduct violation. Our business unit utilizes a wide range data sources, processes, and tools that requires a high level of confidentiality and complexity. The team provides a feed of its findings into to Global Security and Investigations, Human Resources, Legal and Risk.

As a Senior Analytics Solutions Associate in the Data Security Investigations team, you will develop and enhance internal frisk strategies to identify potential internal fraud/code of conduct incidents, contribute and implement updates for technical processes and functions in order to increase business efficiency, improves analysis capabilities. You will develop new report strategies developed in SAS and will need to understand how inputs and outputs are generated within a wide range of data repositories, perform statistical analysis in order to determine the appropriate criteria and thresholds and perform root cause analysis to validate the accuracy of the criteria.  Additionally, your function will synthesize large volumes of data and provide systemic enhancements to the risk strategies, monitoring tools, new report and process development, as well as troubleshoot system and reporting issues. 

Job Responsibilities: 

Create report strategies through SAS coding in order to deploy new risk strategies.  Update design or data in production report, change to schedule, compiling data for report, refresh report, report generation, distribution.  Defect resolution, access administration, unplanned break fix, resolve data issues, training, user support.  Perform Ad Hoc Reporting Requests: One-off queries, answering one-time business questions, point in time request, non-production reporting.  Conduct in-depth and detailed oriented business analysis to provide insights/root causes for business performance and identify new operational and process opportunities.   Perform Data Analytics: General analysis of business, general data analysis, support for ad hoc analytic requests, business case development Perform Process Monitoring and Analytics: Information gathering, time and motion analysis, data exploration.  Own and coordinate multiple projects with competing priorities Identify opportunities, understanding business requirements, collecting / analyzing data, validating and making recommendations Present analyses / recommendations in verbal and written form to executive leadership and business partners including Risk, GS&I, HR, and Legal. 

Required Qualifications, Capabilities and Skills: 

Bachelor's degree in a quantitative discipline (Mathematics, Statistics, Operations Research or similar) or related work experience demonstrating abilities and knowledge. 2+ years of SAS//Python programming experience. 3+ years of relevant analytics experience especially in Retail banking and Cards in strategic analytics/ Data Analytics within Banking / Financial Services / Analytics industry Extensive experience in SAS and SQL, and databases such as Oracle GOS/Snowflake/Teradata Strong analytical, technical and statistical skills.   Ability to synthesize / analyze diverse and large amounts of data, develops recommendations, and makes decisions. Project Management Skills -- well-organized, structured approach.   Ability to achieve tight timelines on complex deliverables, also manage and prioritize projects across cross-functional groups.  Strong communication and interpersonal skills, ability to interact with individuals across departments / functions and with senior-level individuals.  Self-starter, works well independently and as a team player Must be adaptable to changing work priorities to address fast-moving fraud trends

Preferred Qualifications, Capabilities and Skills: 

Alteryx and Tableau experience a plus

 

Work Schedule: Monday - Friday, 8:00 am - 5:00 pm | Hybrid: In-Office 3 days

This position is not eligible for visa sponsorship.