KPMG US
Overview
KPMG Advisory practice is currently our fastest growing practice. We are seeing tremendous client demand, and we do not anticipate that slowing down. At KPMG, our people are our number one priority, with ample learning and career development opportunities, a world-class training facility and leading market tools. 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 flexibility, consider a career in Advisory.
KPMG is currently seeking a Senior Associate, Financial Crimes, Data 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
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 from an accredited college or university is required with preference given to data science, computer science, statistics, math or related quantitative field of study or Masters of Business Administration (MBA) from an accredited college or university
Proficient in programming languages such as SQL, Python, SAS 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
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
Compensation and Benefits KPMG LLP and its affiliates and subsidiaries comply with all local/state 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(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, KPMG offers a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Our Total Rewards package includes medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health. Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year. Additionally, each year KPMG publishes a calendar of holidays to be observed and provides eligible employees two breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday. More details about our benefits can be found on the KPMG US Careers site under Benefits & How We Work.
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 offers a comprehensive compensation and benefits package. KPMG is an equal opportunity employer. KPMG complies with all 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 applicable federal, state or local laws.
KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them.
Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. We will consider qualified applicants with arrest and conviction records in accordance with applicable laws and ordinances.
Other
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: General Business
Referrals increase your chances of interviewing at KPMG US by 2x
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KPMG is currently seeking a Senior Associate, Financial Crimes, Data 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
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 from an accredited college or university is required with preference given to data science, computer science, statistics, math or related quantitative field of study or Masters of Business Administration (MBA) from an accredited college or university
Proficient in programming languages such as SQL, Python, SAS 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
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
Compensation and Benefits KPMG LLP and its affiliates and subsidiaries comply with all local/state 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(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, KPMG offers a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Our Total Rewards package includes medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health. Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year. Additionally, each year KPMG publishes a calendar of holidays to be observed and provides eligible employees two breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday. More details about our benefits can be found on the KPMG US Careers site under Benefits & How We Work.
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 offers a comprehensive compensation and benefits package. KPMG is an equal opportunity employer. KPMG complies with all 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 applicable federal, state or local laws.
KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them.
Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. We will consider qualified applicants with arrest and conviction records in accordance with applicable laws and ordinances.
Other
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: General Business
Referrals increase your chances of interviewing at KPMG US by 2x
#J-18808-Ljbffr