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Northern Trust

Sr. Consultant, Risk Analytics- Model Risk Management Group

Northern Trust, Chicago, Illinois, United States, 60290


About Northern Trust:Northern Trust, a Fortune 500 company, is a globally recognized, award-winning financial institution that has been in continuous operation since 1889.Northern Trust is proud to provide innovative financial services and guidance to the world’s most successful individuals, families, and institutions by remaining true to our enduring principles of service, expertise, and integrity. With more than 130 years of financial experience and over 22,000 partners, we serve the world’s most sophisticated clients using leading technology and exceptional service.The Model Risk Management Group (MRMG) is a centralized model risk management function at Northern Trust. It has seen fast growth in the past few years reflecting global regulators’ increasing attention on model risk.We are searching for a Sr. Consultant, Risk Analytics to join our Model Governance team. The Model Governance team is responsible for developing and maintaining Corporate Model Risk Management Policy and Procedures and providing Board and senior management with timely reporting regarding the state of model risk across Northern Trust.The key responsibilities of the role include:Lead the design, development, and implementation of model governance processes to ensure all models across Northern Trust are managed in accordance with the Corporate Model Risk Management (MRM) Policy and applicable regulatory requirements across different jurisdictions such as SR 11-7 (FRB) and SS1/23 (PRA).Be aware of the new trends in analytics such as generative Artificial Intelligence and introduce appropriate enhancements to the program so that model risk emanating from these advancements can be adequately managed.Design and conduct training sessions to raise awareness about the model risk management program and related expectations across the enterprise.Represent Model Risk Management in various gatekeeping forums to identify potential new models being onboarded in the firm.Lead the onboarding of new model owners and ensure that the models are properly registered in the model inventory.Ensure that model inventory is complete and metadata regarding models is accurately captured in the model inventory management system.Design, develop, and enhance the model risk tiering process and ensure that models are consistently tiered across different business units and model types.Design and deliver Board and senior management reporting by working with other partners in the team and designing, developing, implementing, and enhancing KPIs (Key Performance Indicators) and KRIs (Key Risk Indicators) of model risk.Oversee preparation and enhancement of material for Model Risk Oversight Committee (MROC) every month.Research industry best practices around model risk management and identify areas where the current program can be enhanced.Day-to-day activities will include advising model owners and model validators on the MRM policy/procedures expectations, representing MRMG in various gatekeeping and other risk management forums.The successful candidate will benefit from having:A bachelor’s degree or master’s degree in any STEM field (engineering, math, computer science, etc.).7+ years of experience in a risk management or an audit role at a large financial institution.Experience with MRM governance and enterprise-wide risk management software and reporting is preferred.Understanding of the risk universe and risk governance framework and ability to apply the risk governance framework.Strong statistical background and excellent analytical and problem-solving skills with a graduate degree in one or more of the following areas: statistics, economics, finance, mathematics, computer science, and engineering.Strong knowledge of control design, implementation, testing, and documentation.Strong writing, oral communication, and presentation skills are mandatory.Familiarity with relevant regulations such as SR 11-7, SR 15-18/19, SS1/23, and Basel Final rules is preferred.

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