Senior Associate, Financial Crimes Data Analytics

Join to apply for the Senior Associate, Financial Crimes Analytics role at KPMG US

KPMG Advisory practice is currently our fastest growing practice. We are seeing tremendous client demand, and looking forward we do not anticipate that slowing down. In this ever-changing market environment, our professionals must be adaptable and thrive in a collaborative, team-driven culture. At KPMG, our people are our number one priority. With a wealth of learning and career development opportunities, a world-class training facility and leading market tools, we make sure our people continue to grow both professionally and personally.

KPMG is currently seeking a Senior Associate, Financial Crimes, Quantitative Analyst to join our Advisory Services practice.

Responsibilities :

• Develop, calibrate, and validate statistical, machine learning, and artificial intelligence models used to detect and prevent financial crimes, including fraud, money laundering, and sanctions violations
• Assess and monitor the performance of quantitative models through back testing, benchmarking, and statistical analysis
• Analyze large and complex datasets to uncover patterns, anomalies, and trends indicative of illicit financial activities
• Provide quantitative support for risk assessments, regulatory reporting, and periodic audits related to financial crimes
• Contribute to the design and implementation of data quality, governance, and model risk management frameworks

Qualifications :

KPMG LLP and its affiliates and subsidiaries ("KPMG") complies with all local / state regulations regarding displaying salary ranges. The California Salary Range is $90,000 - $169,400. KPMG is proud to offer a comprehensive, competitive benefits package. KPMG is an equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state or local laws.

J-18808-Ljbffr