Associate; Global Financial Crimes Specialist

DUTIES: Support the execution of substantive money laundering, economic sanctions and fraud compliance and operational risk practices. Assist Global Financial Crimes executives and managers with activities that support the identification, escalation and timely mitigation of compliance and operational risks in alignment with the Compliance and Operational Risk Management (CORM) Program, the Financial Crimes and Global Compliance - Enterprise Policies and the Enterprise Fraud Risk Management Standards. Support the development and maintenance of financial crimes owned policies and standards and review relevant Front-Line Units/Control Functions-owned policies and standards to ensure that regulatory requirements and operational risks are appropriately addressed. Assist in the production of independent financial crimes risk management reporting to Global Compliance & Operational Risk (GC&OR) Senior Leaders and FLU/CF Senior Leaders. Assist in the monitoring of changes in regulations applicable to Global Financial Crimes, including advising business leaders, directing the appropriate areas to implement or amend policies, standards, procedures and/or processes to address regulatory requirements, and challenging the implementation plan as needed. Remote work may be permitted within a commutable distance from the worksite. REQUIREMENTS: Bachelor's degree or equivalent in Finance, Statistics, Mathematics, Operations Research, or related: and 2 years of experience in the job offered or a related Quantitative occupation. Must include 2 years of experience in each of the following: Using JIRA and Agile to validate controls on big-data platforms and translating requirements into technical specifications and test plans; Designing and maintaining ETL pipelines that process and normalize large datasets to feed data-screening and reporting systems; Utilizing advanced data analytics tools and techniques using Excel VBA and Python to extract actionable insights from extensive datasets; Using Python to interpret and integrate machine learning derived anomaly alerts into the data-screening workflow and assess large-volume data operations; and Designing and maintaining automated dashboards and exception-reporting pipelines using SQL and BI tools to monitor data exposures in real time. Salary: $200,000 - $200,000/year. Job Site: New York, NY. Req# 26009895. If interested apply online at or email your resume to [email protected] & reference the job title of the role & requisition number. No phone calls. EOE.