Quantitative Analytics Director

Job description

**About this role:** Wells Fargo is seeking a Quantitative Analytics Director . The role is within the Model Risk Management (MRM) group and will operate in a dual role: 1. Team Oversight: To oversee teams of validators responsible for model risk management of Capital, Liquidity, Allowance & Planning (CLAP) models. 2. Model Risk Officer (MRO): To serve as the Model Risk Officer for Business Planning models in the bank. Model Risk Management: MRM 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. The model inventory of the bank is partitioned into groups each headed by a Group Model Risk Officer (GMRO), who is assisted by a team of Model Risk Officers each managing a subgroup of models with the help of model validation teams located in the US and in India. Capital, Liquidity, Allowance & Planning: Within MRM, the CLAP group is headed by the CLAP GMRO assisted by MROs for model subgroups including models from Retail Credit, Commercial Credit, Mortgages, Wealth & Investment Management, Treasury, Finance and Business Planning. In the CLAP Oversight capacity, the candidate will head the India CLAP team, working with multiple downstream managers on MRM agenda, GMRO priorities, strategic initiatives and personnel matters. Business Planning team: This team within CLAP oversees model risk in business planning models across all lines of business to make decisions around 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 CLAP GMRO and MRM policies and procedures. As MRO, the candidate will have the functional responsibility of managing model risk across all business planning models, aided by a team of model validators covering this area. 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. **In this role, you will:** - Manage and develop teams responsible for the creation, implementation and validation of complex financial and statistical models - Analyze and manage risks to enable decision making for businesses for staffing, planning, forecasting or other functional areas related to business operations - Provide expert opinion on models for business operations and support overall business process and risk management - Perform various compliance requirements with corporate and regulatory reporting, involving finance and capitalization requirements - Be an authority on model risk policies and procedures, and enforce adherence to them - Determine scope and prioritization of work - Perform key input in the development of strategy, policies, procedures, and organizational controls - Manage multiple teams of highly skilled quantitative analysts or managers - Interface with internal and external audit or regulators - Manage complex organizations that develop predictive models including Artificial Intelligence and Machine Learning - Lead groups responsible for creation, implementation, validation, and ongoing maintenance - Analyze models, manage markets, credit, counterparty, and operational risks - Forecast losses and compute capital requirements - Identify opportunities and strategies for analytics and data science through experienced managers and business strategies - Collaborate across the enterprise to predict current and future needs - Evaluate, recommend, and implement strategies for developing and modeling resources to predict, improve, measure the success of fundamentals and new initiatives - Recommend and implement strategies for developing and utilizing model resources to predict, improve fundamentals and new initiatives - Interpret and develop range of policies, procedures to drive continuous advancement of the state of analytics and data science - Manage teams of highly skilled quantitative analysts in mathematical or scientific disciplines and managers of such groups - Exercise usual authority of an experienced manager - Manage allocation of people and financial resources for Quantitative Analytics - Develop and guide a culture of talent development to meet business objectives and strategy **Required Qualifications:** - 10+ years of Quantitative Analytical experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education - 4+ years of management or leadership experience - Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, accounting, finance, economics, or computer science - Previous model development or validation experience in business planning in large financial firms - Domain Knowledge: - A wide knowledge of modeling and statistical techniques and uses - Strong computing and programming experience - 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 - Leadership: - Excellent oral, written, an