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Wells Fargo is seeking a Quantitative Analytics Manager for oversight of Business Planning models. Model Risk Management (MRM): Model Risk Management is responsible for validating and monitoring models, independently overseeing the management of model risk exposures across the enterprise, including governing, monitoring, and reporting on aggregate model risk exposures. This oversight extends to all phases of a model's life cycle, including model identification, development, validation, implementation, resolution of model risk findings, model usage, performance monitoring, documentation, and retirement. Business Planning team: This team oversees model risk in business planning models across all lines of business to make decisions including staffing, capacity planning, revenue and expense forecasting, optimization of operations, inventory management, recovery resolution and planning. The responsibilities of this team include end-to-end model risk management over the entire model lifecycle adhering to guidance and goals set by the Group Model Risk Officer (GMRO). This highly visible position requires strong risk management and technical expertise, along with the ability to build strategic partnerships across the enterprise. Effective communication with technical staff, senior management, auditors, and regulators is crucial. The role operates in a fast-paced environment, necessitating multitasking and meeting strict deadlines to ensure policy adherence and effective model risk management.
Job Responsibility:
Manage and develop a team with oversight and strategic direction of enterprise risk, governance and reporting programs and engage stakeholders and internal partners associated with the Enterprise Risk
Identify, support and recommend opportunities for process improvement and risk control development of companywide risk based programs
Utilize knowledge of risk and regulatory for one or more risk, product or front line areas with moderate risk and complexity
Guide and direct in the interpretation of policies and guidelines
Make decisions and resolve issues regarding resources, objectives and operations of functional area and team to meet business objectives, interpret and develop policies and procedures for enterprise risk with low to moderate complexity within scope of responsibility
Manage direction setting, monitoring and credible challenge for risk reporting , escalation and timely remediation of issues, deficiencies or regulatory matters regarding covered compliance
Collaborate with and consult with peers, colleagues and multiple level managers, interact directly with external customers
Manage communication and collaboration with business heads, Legal, Audit, and regulators on risk related topics
Manage allocation of people and financial resources for Enterprise Risk
Mentor and guide talent development of direct reports and assist in hiring talent
Requirements:
5+ years of Risk Management experience (Compliance, Financial Crimes, Operational Risk, Audit, Legal, Credit Risk, Market Risk, IT Systems Security, Business Process Management) or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
2+ years of Leadership experience
Nice to have:
5+ years of quantitative analytical experience or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
2+ years of management or leadership experience
Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science
Knowledge of regulatory requirements: SR 11-7, industry standards on model validation, model governance, extensive expertise and keen insight on the model risk management process and future directions, expertise in defining model performance metrics and risk reduction techniques
Previous model development or validation experience in business planning in large financial firms
Excellent oral, written, and interpersonal communication skills, with an ability to communicate to non-technical audiences and senior leaders
Strong organizational skills, attention to detail, ability to work as a member of a broader team, and ability to adhere to strict deadlines in a fast-paced environment
Demonstrated ability to actively lead projects and discussions, work through problems and reach decisions that are in the best interest of the function and the Company
A wide knowledge of modeling and statistical techniques and uses, and strong familiarity with AI and ML methodologies