Insight Global is seeking a Senior Quantitative Finance Analyst to conduct independent model validation, independent testing and review of complex models used to monitor and mitigate money laundering risk. The ideal candidate should be familiar with industry practices and have knowledge of up-to-date AML techniques. The candidate should also be able to provide both thought leadership and hands-on expertise in methodology, techniques, and processes in applying statistical and machine learning methods to manage the bank’s AML models and model systems. The qualified candidate will be responsible for a broad range of model validation activities, including: • Review, critical assessment, and challenge of models on conceptual soundness, assumptions and limitations, data, developmental evidence in support of modeling choices, performance, implementation, and documentation. • Development and implementation of effective testing plans and testing code to critically challenge models through empirical analyses and to verify model implementation. • Performing model review activities including but not limited to independent model validation/challenge, 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 to manage model risk. • Communicating and working directly with relevant modeling teams and their corresponding Front Line Units; and if needed, communicating, and interacting with the third line of defense (e.g., internal audit) as well as external regulators. • Writing technical reports for distribution and presentation to model developers, senior management, audit, and banking regulators • Acts as a senior leader and subject matter expert on analytic/quantitative modeling techniques used for Anti-money laundering. Must Haves: • 3+ years experience in model development and/or model validation – NOT jut testing, but true development/validation • Proficient in Python, SAS, and SQL • Masters or PhD in quantitative field: Mathematics, Physics, Finance, Economics, Engineering, Computer Science, Statistics. Plusses • CAMS Cert (Certified Anti-Money Laundering Specialist) • 2+ years of experience building and understanding Anti-Money Laundering models and systems • Familiarity with the Anti-Money Laundering techniques and typologies