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The position will be responsible for:
• Performing independent model validation, annual model review, ongoing monitoring report review, required action item review, and peer review.
• Conducting governance activities such as model identification, model approval and breach remediation reviews.
• Providing hands-on leadership for projects pertaining to statistical modeling and machine learning approaches to effectively challenge and influence the strategic direction and tactical approaches of these projects.
• Communicating and working directly with relevant modeling teams and their corresponding Front Line Units; communicating and interacting with the third line of defense (e.g., internal audit) as well as external regulators, as needed.
• Writing technical reports for distribution and presentation to model developers, senior management, audit and banking regulators.
• Acts as a senior level resource or resident expert on analytic/quantitative modeling techniques used for Anti-money laundering and actively participates in senior level committees; provides guidance to junior team members
Master’s degree in related field
• PhD or Masters in a quantitative field such as Mathematics, Physics, Finance, Engineering, Computer Science, Statistics.
• Advanced knowledge and 7+ years of experience in building and understanding of Anti-Money Laundering models and systems
• Strong familiarity with the industry practices in the field and knowledge of up-to-date Anti Money Laundering techniques
• CAMS certification (preferred)
• Fluency in Python, SAS and SQL
• Excellent written and oral communication skills with stakeholders of varying analytic skill and knowledge levels.
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