Senior Associate, Financial Crimes Data Analytics

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KPMG Advisory practice is currently our fastest growing practice. We are seeing tremendous client demand, and we do not anticipate that slowing down. Our professionals must be adaptable and thrive in a collaborative, team-driven culture. At KPMG, our people are our number one priority, with opportunities for learning and career development, world-class training, and leading market tools to support professional and personal growth.

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

• 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
• Perform analysis to carry out BSA/AML risk assessments, model valuations and audits related to financial crimes
• Contribute to the design and implementation of data quality, governance, and model risk management frameworks

• Minimum three years of recent experience performing quantitative analysis for financial crime detection, leveraging advanced statistical methods and data modeling techniques
• Bachelor's degree from an accredited college or university is required with preference given to data science, computer science, statistics, math or related quantitative field of study or Masters of Business Administration (MBA) from an accredited college or university
• Proficient in programming languages such as SQL, Python, SAS 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 BI
• Excellent communication and report writing skills
• Ability to analyze complex datasets and communicate actionable insights to diverse audiences
• Experience applying machine learning or artificial intelligence techniques within financial crime risk management
• Must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future

KPMG LLP and its affiliates and subsidiaries (“KPMG”) complies with all local/state regulations regarding displaying salary ranges. If required, salary ranges are provided for those locations. KPMG offers a comprehensive compensation and benefits package and is an equal opportunity employer. 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 laws.

No phone calls or agencies, please.

KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled.