Anti-Financial Crime Modeling – Tuning & Optimization – VP

Full Time

International Banking Client

Office Status: Remote

Responsibilities:

  • Tuning, calibration and optimization of AML/transaction monitoring models for regulatory compliance; define specifications for transaction monitoring models
  • Continually assessing current and future state of surveillance platforms, policies, and procedures; addressing and resolving logic and configuration in monitoring scenarios; perform data analysis and propose possible identification and reduction of false positives
  • Using advanced statistical techniques like clustering and regression analysis to ensure appropriate rigor around optimization process
  • Develop data-driven insights and communicate these effectively to management and diverse stakeholders; utilizing visualization techniques to showcase the results of analysis in concise presentations to stakeholders; defining and documenting the methodology/approach in a clear and concise manner
  • Address requests from internal and external regulators
  • Maintaining standards for segmentation methodology, scenario tuning methodology, peer grouping, below/above the line (BTL/ATL) sampling methodology

Qualifications:

  • Experience working with AML transaction monitoring systems like Mantas, Norkom, Prime or Actimize
  • Bachelor’s/Master’s degree in statistics, mathematics, economics, computer science, data science, MIS/information management or equivalent
  • Exposure to financial crime compliance covering business lines like correspondent banking, private banking, wealth management, brokerage, trade finance, or asset management
  • Statistical/data analysis skills with knowledge of statistical techniques and methodologies
  • Demonstrated experience in SQL is must, data analysis using Python and R is a plus
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