Senior Associate, Financial Crimes Data 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, Data 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

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

Qualifications

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 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 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.

KPMG offers a comprehensive compensation and benefits package. Benefits include medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, a robust suite of personal well-being benefits, Personal Time Off per fiscal year, and holiday observances. For more details, please visit the KPMG US Careers site under Benefits & How We Work.

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