KPMG US
Overview
Senior Associate, Financial Crimes, Data Analytics
– KPMG US KPMG Advisory is seeking a Senior Associate, Financial Crimes, Data Analytics to join our Advisory Services practice. This role focuses on developing and applying quantitative methods 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 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 required; preferred fields include data science, computer science, statistics, math, or related quantitative field; MBA is a plus Proficient in SQL, Python, SAS and R to build, validate, and implement models for transaction monitoring and fraud analytics; experience with Tableau or Power BI for data visualization 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 Equal Opportunity Employment
KPMG LLP and its affiliates are equal opportunity employers. We recruit on a rolling basis and consider all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other status protected by applicable federal, state, or local laws.
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Senior Associate, Financial Crimes, Data Analytics
– KPMG US KPMG Advisory is seeking a Senior Associate, Financial Crimes, Data Analytics to join our Advisory Services practice. This role focuses on developing and applying quantitative methods 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 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 required; preferred fields include data science, computer science, statistics, math, or related quantitative field; MBA is a plus Proficient in SQL, Python, SAS and R to build, validate, and implement models for transaction monitoring and fraud analytics; experience with Tableau or Power BI for data visualization 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 Equal Opportunity Employment
KPMG LLP and its affiliates are equal opportunity employers. We recruit on a rolling basis and consider all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other status protected by applicable federal, state, or local laws.
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