Senior Associate, Financial Crimes Data Analytics

Senior Associate, Financial Crimes Data Analytics – KPMG US

KPMG Advisory practice is currently our fastest growing practice. We are seeing tremendous client demand and anticipate no slowdown. 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.

We are looking for an individual who can 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.

• 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 in data science, computer science, statistics, math or a related quantitative field; MBA preferred
• Proficient in programming languages such as SQL, Python, SAS and R; 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 will not sponsor applicants for U.S. work visa status for this opportunity.

We are 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 law.

Our Total Rewards package includes medical, dental, vision, disability and life insurance, 401(k) plans, and a robust suite of personal well‑being benefits to support your mental health. Compensation is determined based on relevant factors such as your skills, responsibilities, experience, degrees, certifications, and market considerations.