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KPMG US · 8 hours ago

Senior Associate, Financial Crimes Data Analytics

Melville, NY

Full-time

Onsite

Mid, Senior Level

3+ years exp

KPMG is currently seeking a Senior Associate in Financial Crimes Data Analytics to join their Advisory Services practice. The role involves developing and validating models to detect financial crimes and analyzing complex datasets to identify illicit activities.

Financial Services

No H1B

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

Qualification

Quantitative analysisMachine learningData modelingSQLPythonSASRData visualizationReport writingAnalyzing complex datasetsActionable insightsCommunication skills

Required

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. KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa)