KPMG US
Senior Associate, Financial Crimes, Quantitative Analytics
KPMG US, Mc Lean, Virginia, us, 22107
Overview
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Senior Associate, Financial Crimes, Quantitative Analytics
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KPMG US 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 ever-changing market environment, our professionals must be adaptable and thrive in a collaborative, team-driven culture. At KPMG, our people are our number one priority. With a wealth of learning and career development opportunities, a world-class training facility and leading market tools, we make sure our people continue to grow both professionally and personally. If you\'re 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 and access to constantly find new areas of inspiration and expand your capabilities, then consider a career in Advisory. 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; 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
Equal Opportunity KPMG LLP and its affiliates and subsidiaries (“KPMG”) comply with all local/state regulations regarding displaying salary ranges. KPMG is an equal opportunity employer and complies with applicable federal, state, and local laws regarding recruitment and hiring. 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 law.
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
We recruit on a rolling basis. Candidates are encouraged to apply expeditiously for roles of interest.
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Join to apply for the
Senior Associate, Financial Crimes, Quantitative Analytics
role at
KPMG US 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 ever-changing market environment, our professionals must be adaptable and thrive in a collaborative, team-driven culture. At KPMG, our people are our number one priority. With a wealth of learning and career development opportunities, a world-class training facility and leading market tools, we make sure our people continue to grow both professionally and personally. If you\'re 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 and access to constantly find new areas of inspiration and expand your capabilities, then consider a career in Advisory. 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; 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
Equal Opportunity KPMG LLP and its affiliates and subsidiaries (“KPMG”) comply with all local/state regulations regarding displaying salary ranges. KPMG is an equal opportunity employer and complies with applicable federal, state, and local laws regarding recruitment and hiring. 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 law.
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
We recruit on a rolling basis. Candidates are encouraged to apply expeditiously for roles of interest.
#J-18808-Ljbffr