Job
Description
Our client is one of the global banking firms which provides industry-focused services for clients across geographies. We are looking for a Principal Advisor to join our global Model Risk Management (MRM) team. As part of a collaborative, and dynamic team, you will be responsible for validating, reviewing, and challenging models across the bank to ensure compliance with regulatory guidelines and best practices. Some of the key responsibilities will include: Conduct comprehensive validations of models across Treasury, ALM, balance sheet forecasting, and credit risk. Review model design, data integrity, code accuracy, and stress testing frameworks. Prepare high-quality validation reports and documentation, adhering to internal and regulatory standards. Interact with model owners, users, data scientists, and global MRM teams to ensure robust oversight. Provide effective challenge and identify model risks and control gaps, recommending enhancements. Support audits, regulatory exams and ongoing model monitoring and governance. Stay current with regulatory trends (e.g., SR 11-7, OCC 2011–2012) and industry best practices. To be eligible for this role you will require: 5-12 years of experience in model development, validation or implementation within financial services. Proficiency in Python, R, SQL, and statistical methods (regression, ARIMA, etc.). Experience with Treasury, ALM, or balance sheet forecasting models is a plus. Strong understanding of model governance frameworks and regulatory expectations. Bachelor’s or master’s degree in statistics, mathematics, economics or a related quantitative field. Excellent written and verbal communication skills and the ability to mentor junior analysts. Please contact Malavika or email your cv directly in word format with Job ID: 14910 to Malavika@theedgepartnership.com Please note that due to the high number of applications, only shortlisted candidates will be contacted. If you do not hear from us in the next 7 business days, we regret to inform you that your application for this position was unsuccessful . Show more Show less
