Senior Associate, Financial Crimes Analytics

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. If you're looking for a firm with a strong team connection where you can be your whole self, have an impact, advance your skills, deepen your experiences, and have the flexibility and access to constantly find new areas of inspiration and expand your capabilities, then consider a career in Advisory.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 violationsAssess and monitor the performance of quantitative models through back testing, benchmarking, and statistical analysisAnalyze large and complex datasets to uncover patterns, anomalies, and trends indicative of illicit financial activitiesProvide quantitative support for risk assessments, regulatory reporting, and periodic audits related to financial crimesContribute to the design and implementation of data quality, governance, and model risk management frameworksQualifications:Minimum three years of recent experience specialized in quantitative analysis for financial crime detection, leveraging advanced statistical methods and data modeling techniquesBachelor's degree from an accredited college or university is required with preference given to data science, statistics, math or related quantitative field of study; Masters of Business Administration (MBA) from an accredited college or university is preferredProficient in programming languages such as Python and R to build, validate, and implement models for transaction monitoring, anomaly detection, and fraud analytics; experienced with data visualization tools such as Tableau or Power BISkilled in risk assessment, data-driven decision making, and extracting actionable insights from complex datasetsAbility to analyze complex datasets and communicate actionable insights to diverse audiencesExperience applying machine learning or artificial intelligence techniques within financial crime risk managementMust be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future. KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa)KPMG LLP and its affiliates and subsidiaries (

Created: 2025-09-29