As part of JPMC’s Global Financial Crimes Compliance (GFCC), the Global Financial Intelligence Unit (GFIU) team is a critical part in protecting JPMC. GFIU is responsible for the execution and delivery of proactive project-oriented investigations which identify financial crime risk inherent in customer profiles, products, and services; and undertakes reviews of high-profile investigations referred from JPMC’s LOB, Regional AML Investigations, GFC Legal Counsel, and Senior Management. The role of the Data Analyst involves working internally to support the GFIU AML investigative teams which detect and mitigate money laundering / terrorist financing (ML/TF) risks by leveraging existing and newly developed data analytic solutions.

As a GFIU Data Analyst within our risk management team, you will be instrumental in developing new data analytic tools and techniques to identify and mitigate emerging risks. Your role will require the application of your statistical, analytical, and technical skills. Additionally, you will be expected to exercise sound judgment and maintain the utmost confidentiality when handling sensitive information

Job responsibilities

• Supports the Data Analytics Team’s illumination of data which the GFIU uses to develop actionable Financial Crimes intelligence to identify existing and emerging risk trends and in-turn used to inform senior management.
• Supports and develops of various Financial Crimes intelligence dashboards
• Supports requests for specialized analytics by researching data sources and developing custom logic.
• Supports projects involving various Corporate, Technology, and Line of Business groups to identify and implement new intelligence opportunities.
• Communicates observations to GFIU investigators and managers.
• Cultivates relationships as self-starter across various Corporate, Legal, Technology and Line of Business groups to drive program objectives to successful completion.
• Supports the development and implementation of data analytic training and best practices to grow AML investigator self-sufficiency.

Required qualifications, capabilities and skills

• Experience building complex SQL statements and working knowledge of database platforms.
• Experience with applying data science techniques using statistical analysis to analyze large data sets leveraging python and pandas data frames.
• Advanced dashboard development experience with QlikView, Tableau or similar.
• Experience building complex workflows leveraging Alteryx Designer.
• Strong analytical skills to enable efficient, accurate and objective decision making.
• Technically strong and able to undertake complex data scenarios utilizing data to conclude an end results.

Preferred qualifications, capabilities and skills

• Knowledge of Anti-Money Laundering (AML) and/or Complex Investigations
• Programming experience with Python or SAS
• Proficiency with application of Link Analysis software, in support of complex investigations (i.e. IBM i2 Analyst’s Notebook)