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Wells Fargo is seeking a Quantitative Model Solutions Senior Manager
Job Responsibility:
Manage and develop teams of individual contributors and managers with a focus on moderately complex model operational and optimization processes, controls, metric development, reporting, and testing strategies engaging and influencing internal partners and peers
Drive effectiveness through transformational synchronization of opportunity needs and pragmatic operational considerations, balancing knowledge of modern technology and the regulatory climate
influence design thinking, methodology, optimization, and processes for moderate to high-risk model operations
Utilize advanced mathematics to synthesize and communicate concepts into business opportunities for consideration by key stakeholders related to model maintenance and optimization
Determine appropriate strategy and actions with partners, business leaders, and executive steering committees to meet moderate to high-risk deliverables
interpret and develop policies, procedures, and standards
Provide ad hoc operational and design support and troubleshoot when needed
Collaborate and influence all levels of professionals, including senior managers and interact directly with partners within risk, legal, and outside counsel
Manage allocation of people and financial resources to ensure commitments are met and align with strategic objectives in Quantitative Model Solutions
Develop and guide a culture of talent development to meet business objectives and strategy
Manage a team responsible for Credit Risk & PPNR model monitoring, and forecasting for Commercial 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 Commercial portfolio
Lead and perform various complex activities related to predictive modeling. Provide analytical support for developing, evaluating, implementing, monitoring and executing credit 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
Requirements:
7+ 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
3+ years of management or leadership experience
7+ years of overall experience with 3+ 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
6+ years of experience in credit risk analytics or credit risk modeling/monitoring/implementation roles
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 Commercial portfolios
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