Quantitative Analytics Manager

About this role:

Wells Fargo is seeking a Quantitative Analytics Manager.

In this role, you will:

• Manage a team responsible for the creation and implementation of low to moderate complex financial areas

• Mitigate operational risk and compute capital requirements

• Determine scope and prioritization of work in consultation with experienced management

• Participate in the development of strategy, policies, procedures, and organizational controls with model users, developers, validators, and technology

• Make decisions and resolve issues regarding operational risks and enable decision making in business, product, marketing, or other functional areas

• Manage a team comprised of quantitative analysts and credit risk analysts

• Interact with internal and external audit or regulators

• Manage allocation of people and financial resources for Quantitative Analytics

• Mentor and guide talent development of direct reports and assist in hiring talent

Required Qualifications:

• 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 leadership experience

• Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, or computer science

Desired Qualifications:

• 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 leadership experience
• Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, or computer science
• Strong technical skills and problem solving skills
• Advanced programming expertise in SAS/Python
• Hands-on experience in statistical modeling techniques such as regression, time-series, survival modeling, and machine learning
• 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

Job Expectations:

• 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 requirements, industry data sources, regulatory reporting and governance requirements
• Ability to research and report on a variety of issues using problem solving skills
• Ability to make timely and independent judgment decisions while working in a fast-paced and results-driven environment
• Knowledge and understanding of issues or change management processes
• Ability to partner and influence senior management teams on critical projects.
• Ability to prioritize work, meet deadlines, achieve goals and work under pressure in a dynamic and complex environment
• Lead and develop a high-performing quantitative analytics team to perform various complex activities related to predictive modeling. Provide guidance and analytical support for the development, enhancement and maintenance of PPNR, CECL, Basel, RRP Valuations and CCAR models for Commercial portfolio.
• Lead and act as a subject matter expert on Commercial portfolio PPNR & RRP models, and provide support on Commercial Credit models
• Drive incorporation of emerging risk factors, portfolio dynamics, and macroeconomic relationships into forecasting frameworks.
• Lead the development of dynamic dashboards and reporting solutions that provide visibility into forecast performance, model diagnostics, portfolio trends, and key risk indicators.
• Partner with various stakeholders in line of business, model implementation, monitoring and production team, Model Risk Management, Model Governance to ensure flawless and timely delivery of models in compliance with Model Risk Policies and regulatory expectations
• Partner with data engineering and technology teams to enhance model implementation, monitoring platforms, and reporting capabilities.
• Manage multiple stakeholder relationships and project engagements across credit risk and finance organization.
• Influence strategic decisions by providing data-driven recommendations and thought leadership.
• Identify opportunities and deliver process improvements, standardization, rationalization and automations

Posting End Date:

We Value Equal Opportunity

Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.

Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements.

Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.

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b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.