KPMG US
Senior Associate, Financial Crimes, Data Analytics
KPMG US, Minneapolis, Minnesota, United States, 55400
Overview
Senior Associate, Financial Crimes Analytics at KPMG US. This role is part of the Advisory Services practice and focuses on quantitative analytics to detect and prevent financial crimes, including fraud, money laundering, and sanctions violations. Responsibilities
Develop, calibrate, and validate statistical, machine learning, and artificial intelligence models used to detect and prevent financial crimes. 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. Provide quantitative support for risk assessments, regulatory reporting, and periodic audits related to financial crimes. Contribute to the design and implementation of data quality, governance, and model risk management frameworks. Qualifications
Three years of specialized experience in quantitative analysis for financial crime detection, leveraging advanced statistical methods and data modeling techniques. Bachelor\'s degree from an accredited college or university required; preference for data science, statistics, mathematics or related quantitative field; MBA preferred. Proficient in Python and R to build, validate, and implement models for transaction monitoring, anomaly detection, and fraud analytics; experience with Tableau or Power BI for data visualization. Skilled in risk assessment, data-driven decision making, and extracting actionable insights from complex datasets; ability to communicate 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 (no visa sponsorship available). About KPMG & Compliance
KPMG LLP and its affiliates comply with local/state regulations regarding recruitment and hiring. KPMG is an equal opportunity employer and adheres to applicable federal, state, and local laws. All qualified applicants are considered without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other protected category. Salary ranges, benefits, and other details are provided consistent with location and regulations. This information is subject to change and does not create a contract of employment. Note
KPMG recruits on a rolling basis. This description reflects the responsibilities and qualifications for the Senior Associate, Financial Crimes Analytics role as posted. No phone calls or agencies please.
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Senior Associate, Financial Crimes Analytics at KPMG US. This role is part of the Advisory Services practice and focuses on quantitative analytics to detect and prevent financial crimes, including fraud, money laundering, and sanctions violations. Responsibilities
Develop, calibrate, and validate statistical, machine learning, and artificial intelligence models used to detect and prevent financial crimes. 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. Provide quantitative support for risk assessments, regulatory reporting, and periodic audits related to financial crimes. Contribute to the design and implementation of data quality, governance, and model risk management frameworks. Qualifications
Three years of specialized experience in quantitative analysis for financial crime detection, leveraging advanced statistical methods and data modeling techniques. Bachelor\'s degree from an accredited college or university required; preference for data science, statistics, mathematics or related quantitative field; MBA preferred. Proficient in Python and R to build, validate, and implement models for transaction monitoring, anomaly detection, and fraud analytics; experience with Tableau or Power BI for data visualization. Skilled in risk assessment, data-driven decision making, and extracting actionable insights from complex datasets; ability to communicate 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 (no visa sponsorship available). About KPMG & Compliance
KPMG LLP and its affiliates comply with local/state regulations regarding recruitment and hiring. KPMG is an equal opportunity employer and adheres to applicable federal, state, and local laws. All qualified applicants are considered without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other protected category. Salary ranges, benefits, and other details are provided consistent with location and regulations. This information is subject to change and does not create a contract of employment. Note
KPMG recruits on a rolling basis. This description reflects the responsibilities and qualifications for the Senior Associate, Financial Crimes Analytics role as posted. No phone calls or agencies please.
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