KPMG US
Senior Associate, Financial Crimes Data Analytics
KPMG US, Richmond, Virginia, United States, 23214
Overview
Join to apply for the
Senior Associate, Financial Crimes Analytics
role at
KPMG US . KPMG Advisory practice is currently our fastest growing practice. We are seeing tremendous client demand and expect this to continue. In this evolving market, our professionals thrive in a collaborative, team-driven culture. At KPMG, people are our number one priority, with learning and career development opportunities, world-class training, and leading market tools to support professional growth. KPMG is currently seeking a
Senior Associate, Financial Crimes, Quantitative 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
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
Minimum three years of recent experience specialized in 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, statistics, math or related quantitative field of study; Masters of Business Administration (MBA) is preferred
Proficient in programming languages such as Python 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
Skilled in risk assessment, data-driven decision making, and extracting actionable insights from complex datasets
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
Benefits and Compensation KPMG offers a comprehensive compensation and benefits package with options designed to support your well-being and work-life balance. Available benefits depend on eligibility and vary by role and location, including medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a suite of personal well-being benefits. Salary ranges are disclosed per location in accordance with pay transparency policies; detailed ranges by city are provided as per policy guidelines.
Equal Opportunity KPMG LLP and its affiliates are equal opportunity employers. 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 laws.
#J-18808-Ljbffr
Join to apply for the
Senior Associate, Financial Crimes Analytics
role at
KPMG US . KPMG Advisory practice is currently our fastest growing practice. We are seeing tremendous client demand and expect this to continue. In this evolving market, our professionals thrive in a collaborative, team-driven culture. At KPMG, people are our number one priority, with learning and career development opportunities, world-class training, and leading market tools to support professional growth. KPMG is currently seeking a
Senior Associate, Financial Crimes, Quantitative 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
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
Minimum three years of recent experience specialized in 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, statistics, math or related quantitative field of study; Masters of Business Administration (MBA) is preferred
Proficient in programming languages such as Python 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
Skilled in risk assessment, data-driven decision making, and extracting actionable insights from complex datasets
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
Benefits and Compensation KPMG offers a comprehensive compensation and benefits package with options designed to support your well-being and work-life balance. Available benefits depend on eligibility and vary by role and location, including medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a suite of personal well-being benefits. Salary ranges are disclosed per location in accordance with pay transparency policies; detailed ranges by city are provided as per policy guidelines.
Equal Opportunity KPMG LLP and its affiliates are equal opportunity employers. 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 laws.
#J-18808-Ljbffr