About Wells Fargo
Wells Fargo & Company (NYSE: WFC) is a leading global financial services company headquartered in San Francisco (United States). Wells Fargo has offices in over 30 countries and territories. Our business outside of the U.S. mostly focuses on providing banking services for large corporate, government and financial institution clients. We have worldwide expertise and services to help our customers improve earnings, manage risk, and develop opportunities in the global marketplace. Our global reach offers many opportunities for you to develop a career with Wells Fargo. Join our diverse and inclusive team where you will feel valued and inspired to contribute your unique skills and experience. We are looking for talented people who will put our customers at the center of everything we do. Help us build a better Wells Fargo. It all begins with outstanding talent. It all begins with you.
Market Job Description
About Wells Fargo India Wells Fargo India enables global talent capabilities for Wells Fargo Bank NA., by supporting business lines and staff functions across Technology, Operations, Risk, Audit, Process Excellence, Automation and Product, Analytics and Modeling. We are operating in Hyderabad, Bengaluru and Chennai locations.
Department Overview The India Corporate Risk Team provides best in class risk management practices to enhance credit and market risk management, executing on key initiatives and processes across products and lines of business (LOBs).
The Credit and PPNR Modeling (CaPM) Team is a unit within Corporate Credit and Market Risk and is responsible for model development and implementation. The Credit and PPNR (Pre-Provision Net Revenue) models are used to support the Allowance for Credit Loss (including Current Expected Credit Loss), to estimate risk weighted assets (RWA) in compliance with Basel regulations, and to support the Comprehensive Capital Analysis and Review (CCAR) exercise.
About the Role: Primary role of the Credit Risk Analytics Associate Manager is to lead and manage a team of credit risk analysts. This team is expected to apply business knowledge and predictive analytics to serve as subject matter experts, analysts, advisors and consultants to the corporate and/or line of business (LoB) management with respect to regulatory modeling, modeling data analytics, model performance analysis, implementation and production.
Responsibilities:
Lead and act as a subject matter expert on set of models for a portfolio / line of business explaining model performance and business trends. Provide insights and analysis supporting model performance. Lead model monitoring, implementation and production of regulatory models such as CCAR stress testing models, Current Expected Credit Loss (CECL) / IFRS9 models, Basel models, Valuation, Resolution and Recovery Planning (RRP), etc. Manage multiple stakeholder relationships and project engagements across credit risk organization. Design and produce comprehensive model performance monitoring analysis and benchmarks regarding loss grade migration, revenue forecast, delinquency and overall model performance. Lead the team to monitor performance of credit scoring models. Present model reviews across credit committees. Deliver annual model reviews & revalidation and support quarterly model monitoring and monthly data risk reviews Lead teams and build analytical capabilities, manage modeling, forecasting, reporting and data distribution tools and processes requiring significant technical complexity in the analytics. Lead the design and development / enhancement of dynamic dashboards; analyze key risk parameters to help understand changes in business, product groups, vintages, concentration limits, risk ratings etc. 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 Lead the team to support credit risk data migrations, system transitions, data-mapping, data lineage, data reconciliation and documentation in alignment to policy and governance
Essential Qualifications:
Over all experience around 10-14 years in similar role Bachelor's degree or higher in a quantitative fields such as applied mathematics, statistics, engineering, finance, economics, econometrics or computer sciences 10+ years of experience in credit risk analytics 10+ years of advanced programming expertise in SAS or Python Strong technical skills and problem solving skills Strong project management skills with ability to prioritize work, meet deadlines, achieve goals, and work under pressure in a dynamic and complex environment
Market Skills and Certifications
Essential Qualifications: Over all experience around 10-14 years in similar role Bachelor's degree or higher in a quantitative fields such as applied mathematics, statistics, engineering, finance, economics, econometrics or computer sciences 10+ years of experience in credit risk analytics 10+ years of advanced programming expertise in SAS or Python Strong technical skills and problem solving skills 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 determining root cause analysis Flexibility with changing priorities
Desired Qualifications: Ability to prioritize work, meet deadlines, achieve goals and work under pressure in a dynamic and complex environment 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 and regulatory reporting 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
Leadership Expectations at Wells Fargo
As a Team Member manager, you are expected to achieve success by leading yourself, your team, and the business. Specifically you will: - Lead your team with integrity and create an environment where your team members feel included, valued, and supported to do work that energizes them.
- Accomplish management responsibilities which include sourcing and hiring talented team members, providing ongoing coaching and feedback, recognizing and developing team members, identifying and managing risks, and completing daily management tasks.
We Value Diversity
At Wells Fargo, we believe in diversity and inclusion in the workplace; accordingly, we welcome applications for employment from all qualified candidates, regardless of race, color, gender, national or ethnic origin, age, disability, religion, sexual orientation, gender identity or any other status protected by applicable law. We comply with all applicable laws in every jurisdiction in which we operate. |