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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
• Support the Data Analytics Team’s illumination of data which the GFIU leverages to develop actionable Financial Crimes intelligence to identify existing and emerging risk trends and in-turn used to inform senior management
• Develop and support various Financial Crimes intelligence dashboards
• Support requests for specialized analytics by researching data sources and developing custom logic
• Support projects involving various Corporate, Technology, and Line of Business groups to identify and implement new intelligence opportunities
• Effectively communicates observations to GFIU investigators and managers.
• Initiate and cultivate relationships across various Corporate, Legal, Technology and Line of Business groups to promote 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 such as Oracle and Teradata [2+ years experience]
• Experience with applying data science techniques using statistical analysis to analyze large data sets leveraging SAS or similar [2+ years experience]
• Proficiency with application of Link Analysis software, in support of complex investigations (i.e. IBM i2 Analyst’s Notebook)
• Advanced dashboard development experience with QlikView, Tableau or similar [2+ years of experience]
• Experience building complex workflows leveraging Alteryx Designer [2+ years of experience]
• Strong analytical skills to enable efficient, accurate and objective decision making
Preferred qualifications, capabilities and skills
• Knowledge of Anti-Money Laundering (AML) and/or Complex Investigations
• Programming experience with Python or SAS [2+ years experience]
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