KPMG US
Senior Associate, Financial Crimes, Data Analyst
KPMG Advisory practice is currently our fastest‑growing practice, and we are looking for a skilled data analyst to help detect and prevent financial crimes.
This role will develop, validate, and implement statistical and machine‑learning models to support the firm’s BSA/AML risk management and fraud detection efforts.
Responsibilities
Develop, calibrate, and validate statistical, machine‑learning, and AI models used to detect and prevent financial crimes, including fraud, money laundering, and sanctions violations.
Assess and monitor model performance through back‑testing, benchmarking, and statistical analysis.
Analyze large and complex data sets to uncover patterns, anomalies, and trends indicative of illicit financial activity.
Perform analysis for BSA/AML risk assessments, model valuations, and related audits.
Contribute to the design and implementation of data quality, governance, and model risk‑management frameworks.
Qualifications
Minimum three years of recent experience conducting quantitative analysis for financial‑crime detection, using advanced statistical methods and data‑modeling techniques.
Bachelor’s degree in a quantitative field (data science, computer science, statistics, mathematics, or related) or an MBA; preference for candidates with relevant graduate coursework.
Proficiency with SQL, Python, SAS, and R for building, validating, and implementing transaction‑monitoring models; experience with Tableau or Power BI is highly desirable.
Excellent communication and report‑writing skills with the ability to translate technical findings to non‑technical stakeholders.
Experience applying machine‑learning or AI techniques within financial‑crime risk management.
Must be authorized to work in the U.S. without the need for employment‑based visa sponsorship.
Benefits: KPMG offers a comprehensive compensation and benefits package that includes medical, dental, vision, disability, life insurance, 401(k) plans, and a robust suite of well‑being benefits.
Full details can be found on our
KPMG U.S. Careers site .
Security, Information Technology, and Knowledge Management teams are active in recruiting and hiring.
We are an equal‑opportunity employer.
All qualified applicants are considered for employment without regard to race, color, religion, age, sex, gender identity, national origin, citizenship status, disability, or veteran status.
#J-18808-Ljbffr
This role will develop, validate, and implement statistical and machine‑learning models to support the firm’s BSA/AML risk management and fraud detection efforts.
Responsibilities
Develop, calibrate, and validate statistical, machine‑learning, and AI models used to detect and prevent financial crimes, including fraud, money laundering, and sanctions violations.
Assess and monitor model performance through back‑testing, benchmarking, and statistical analysis.
Analyze large and complex data sets to uncover patterns, anomalies, and trends indicative of illicit financial activity.
Perform analysis for BSA/AML risk assessments, model valuations, and related audits.
Contribute to the design and implementation of data quality, governance, and model risk‑management frameworks.
Qualifications
Minimum three years of recent experience conducting quantitative analysis for financial‑crime detection, using advanced statistical methods and data‑modeling techniques.
Bachelor’s degree in a quantitative field (data science, computer science, statistics, mathematics, or related) or an MBA; preference for candidates with relevant graduate coursework.
Proficiency with SQL, Python, SAS, and R for building, validating, and implementing transaction‑monitoring models; experience with Tableau or Power BI is highly desirable.
Excellent communication and report‑writing skills with the ability to translate technical findings to non‑technical stakeholders.
Experience applying machine‑learning or AI techniques within financial‑crime risk management.
Must be authorized to work in the U.S. without the need for employment‑based visa sponsorship.
Benefits: KPMG offers a comprehensive compensation and benefits package that includes medical, dental, vision, disability, life insurance, 401(k) plans, and a robust suite of well‑being benefits.
Full details can be found on our
KPMG U.S. Careers site .
Security, Information Technology, and Knowledge Management teams are active in recruiting and hiring.
We are an equal‑opportunity employer.
All qualified applicants are considered for employment without regard to race, color, religion, age, sex, gender identity, national origin, citizenship status, disability, or veteran status.
#J-18808-Ljbffr