KPMG US
Senior Associate, Financial Crimes, Data Analytics
Join KPMG US as a Senior Associate in the Advisory Services practice, focused on detecting and preventing financial crimes through advanced data analytics and machine learning.
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 a preference for data science, computer science, statistics, math, or related quantitative field; Master of Business Administration (MBA) is a plus.
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. KPMG LLP will not sponsor applicants for U.S. work visa status (no sponsorship for H‑1B, L‑1, TN, O‑1, E‑3, H‑1B1, F‑1, J‑1, OPT, CPT, or any other employment‑based visa).
EEO & Legal Compliance KPMG is an equal opportunity employer and 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.
Follow this link to obtain salary ranges by city outside of CA:
Salary Transparency
Benefits & How We Work:
KPMG Benefits
KPMG offers a comprehensive compensation and benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Our Total Rewards package includes a variety of 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 during the year 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.
KPMG is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle.
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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 a preference for data science, computer science, statistics, math, or related quantitative field; Master of Business Administration (MBA) is a plus.
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. KPMG LLP will not sponsor applicants for U.S. work visa status (no sponsorship for H‑1B, L‑1, TN, O‑1, E‑3, H‑1B1, F‑1, J‑1, OPT, CPT, or any other employment‑based visa).
EEO & Legal Compliance KPMG is an equal opportunity employer and 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.
Follow this link to obtain salary ranges by city outside of CA:
Salary Transparency
Benefits & How We Work:
KPMG Benefits
KPMG offers a comprehensive compensation and benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Our Total Rewards package includes a variety of 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 during the year 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.
KPMG is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle.
#J-18808-Ljbffr