Job
Description
About this role: Wells Fargo is seeking a Quantitative Model Solutions Manager. In this role, you will: Manage and develop individual contributors with a focus on low to moderate complex model operational and optimization processes, controls, assumptions, metric development, reporting, and testing strategies to successfully drive effectiveness Provide expertise regarding low to moderately complex strategies, synchronizing transformational and opportunity needs with pragmatic operational considerations Make decisions and resolve issues regarding low to moderately complex model operations and optimization work to meet business objectives; interpret and develop policies, procedures, and standards Identify and recommend design thinking, methodology, optimization, and processes related to low to moderately complex model operations, balancing modern technology and the regulatory climate Utilize theoretical and mathematics to synthesize then communicate concepts into practical planning related to model maintenance and optimization Collaborate with and consult with peers, colleagues, and multiple level managers Manage allocation of people and financial resources for Quantitative Model Solutions Mentor and guide talent development of direct reports and assist in hiring talent Required Qualifications: 4+ years of quantitative model solutions or quantitative model operations experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education 2+ years of leadership experience Desired Qualifications: 4+ years of overall experience with 2+ years of leadership experience Bachelors degree from a premier institute or Masters/PhD degree in quantitative fields such as applied mathematics, statistics, engineering, finance, economics, econometrics or computer sciences 4+ years of experience in credit risk analytics or credit risk modeling/monitoring role Advanced programming skills in Python, SAS and SQL Good exposure to business intelligence tools such as Tableau/PowerBI for dashboarding Strong project management skills with ability to prioritize work, meet deadlines, achieve goals, and work under pressure in a dynamic and complex environment Excellent verbal, written, and interpersonal communication skills Strong ability to develop partnerships and collaborate with other business and functional areas Knowledge and understanding of issues or change management processes Experience in regulatory models for CCAR Stress testing, CECL, IFRS9, RRP, and Basel , Strong understanding of Retail Home Lending and Auto business Comprehensive view of the regulatory requirements Ability to systematically probe, research, identify and analyze business problems using problem solving skills Ability to lead high performing advanced quantitative analytics teams and stakeholder management Detail oriented, results driven, and has the ability to navigate in a quickly changing and high demand environment while balancing multiple priorities Understanding of bank regulatory data sets and other industry data sources Flexibility with changing priorities Knowledge of SR 15-18 and SR 11-7 guidelines Job Expectations: Manage a team responsible for Credit Risk model monitoring, implementation and execution for Retail Home Lending and Auto portfolio Manage multiple stakeholders and relationships for different engagements of the team Lead large-scale projects related to implementation, execution and monitoring of CECL, IFRS9, Basel and CCAR stress testing models for Retail Secured portfolios Lead and perform various complex activities related to predictive modeling. Provide analytical support for developing, evaluating, implementing, monitoring and executing credit and PPNR models across retail secured business verticals Lead model production and analytics projects for Retail Secured loss forecasting and PPNR models Guide the team in developing dynamic dashboards; analyze key risk parameters to help understand changes in business and model performance Identify opportunities for strategic and infrastructure projects. Design and deliver process improvements, standardization, rationalization and automations. Enhance and standardize performance analysis, reporting packages and business loss forecast processes Develop frameworks for documentation of development, implementation and monitoring processes across the team with focus on standardization of controls Recommend insights and actions to be considered by management relative to the development of strategy, policies, procedures and organizational controls and with model users, developers, validators and technology. Apply business knowledge and predictive analytics to serve as a subject matter expert, analyst, advisor and consultant to the corporate and/or lines of business (LoB) with respect to model development, model validation, modeling data analytics, model performance analysis and model execution.
