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 banks 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.
We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to
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- 5-8 Years exp in true model validation and/or development
- 3 years+ experience in AML (Anti Money Laundering) models
- Proficient in Python, SAS, and SQL
- CAMS Cert (Certified Anti-Money Laundering Specialist)
-Masters of Phd
Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.