KPMG-posted 4 months ago
Full-time • Mid Level
New York, NY
5,001-10,000 employees
Professional, Scientific, and Technical Services

KPMG Advisory practice is currently our fastest growing practice. We are seeing tremendous client demand, and looking forward 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.

  • 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
  • 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
  • Comprehensive, competitive benefits package
  • Medical and dental plans
  • Vision coverage
  • Disability and life insurance
  • 401(k) plans
  • Robust suite of personal well-being benefits to support mental health
  • Personal Time Off per fiscal year
  • Calendar of holidays to be observed during the year
  • Two breaks each year where employees will not be required to use Personal Time Off
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