KPMG US
Senior Associate, Financial Crimes, Quantitative Analytics
KPMG US, Boston, Massachusetts, us, 02298
Overview
KPMG Advisory practice is currently our fastest growing practice. We are seeing tremendous client demand, and we do not anticipate that slowing down. In this evolving market, our professionals must be adaptable and thrive in a collaborative, team-driven culture. If you are 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 to discover new areas of inspiration, consider a career in Advisory. KPMG is currently seeking a Senior Associate, Financial Crimes Analytics 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
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 is required with preference given to data science, statistics, math or related quantitative field of study; 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. KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity Compliance and Benefits
KPMG LLP and its affiliates comply with all local regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location listed. Any offered salary is determined based on factors such as applicant\'s skills, job responsibilities, prior relevant experience, certain degrees and certifications, and market considerations. Our Total Rewards package includes medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a comprehensive well-being benefits program. Eligible employees receive Personal Time Off and observe company holidays. Details are available on the KPMG US Careers site under Benefits & How We Work. Salary transparency : Follow this link to obtain salary ranges by city outside of CA: https://kpmg.com/us/en/how-we-work/pay-transparency.html/?id=M150_4_25 KPMG is an equal opportunity employer. We recruit on a rolling basis and consider applicants as they apply until the role is filled. No phone calls or agencies please. Applicants are evaluated based on qualifications and fit for the role in alignment with applicable laws.
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KPMG Advisory practice is currently our fastest growing practice. We are seeing tremendous client demand, and we do not anticipate that slowing down. In this evolving market, our professionals must be adaptable and thrive in a collaborative, team-driven culture. If you are 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 to discover new areas of inspiration, consider a career in Advisory. KPMG is currently seeking a Senior Associate, Financial Crimes Analytics 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
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 is required with preference given to data science, statistics, math or related quantitative field of study; 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. KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity Compliance and Benefits
KPMG LLP and its affiliates comply with all local regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location listed. Any offered salary is determined based on factors such as applicant\'s skills, job responsibilities, prior relevant experience, certain degrees and certifications, and market considerations. Our Total Rewards package includes medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a comprehensive well-being benefits program. Eligible employees receive Personal Time Off and observe company holidays. Details are available on the KPMG US Careers site under Benefits & How We Work. Salary transparency : Follow this link to obtain salary ranges by city outside of CA: https://kpmg.com/us/en/how-we-work/pay-transparency.html/?id=M150_4_25 KPMG is an equal opportunity employer. We recruit on a rolling basis and consider applicants as they apply until the role is filled. No phone calls or agencies please. Applicants are evaluated based on qualifications and fit for the role in alignment with applicable laws.
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