Credit Risk Analytics Consultant 4

Employer
Wells Fargo
Location
Mclean, VA
Posted
Jun 13, 2018
Closes
Jun 15, 2018
Hours
Full Time
Job DescriptionWells Fargo & Company (NYSE: WFC) is a diversified, community-based financial services company. Founded in 1852 and headquartered in San Francisco, Wells Fargo provides banking, insurance, investments, mortgage, and consumer and commercial finance through our many locations, ATMs, the internet (wellsfargo.com) and mobile banking. To learn more, Wells Fargo perspectives are also available at Wells Fargo Blogs and Wells Fargo Stories. The Credit and PPNR Modeling (CaPM) Team is a unit within Corporate Credit and Market Risk and is responsible for model development and implementation of the following model types: Credit loss estimation models for the entire loan portfolio to support Allowance for Credit Loss (ACL), including preparations for Current Expected Credit Loss (CECL); estimation of risk weighted assets (RWA) in compliance with Basel regulations; and, economically sensitive credit loss estimation in compliance with Dodd Frank and the Comprehensive Capital Analysis and Review exercises (CCAR). Models to support Pre-Provision Net Revenue (PPNR) estimates including forecasting models to support Dodd Frank and the Comprehensive Capital Analysis and Review exercises (CCAR).The team is seeking a Credit Risk Analytic Consultant to focus on the implementation and execution of Credit and PPNR models in support of the Corporate and Regulatory (CCAR/DFAST) Stress Tests and ACL/CECL/IFRS9 processes. This position resides within CaPM Model Implementation and Production (MIP) team and will work closely with model development teams and business partners on the implementation of models for production and to support model execution, performance monitoring, and reporting. Asset types include one or more of the following: retail, commercial, and PPNR. This position joins a high functioning, high profile team and requires strong SAS/SQL programming and data analysis skills; ability to understand complex loss and PPNR forecasting models; possess organizational and prioritization skills; as well as strong attention to detail. This role is highly dynamic and will require critical thinking and a tactical approach to problem solving. The responsibilities of this position include the following: Leading Implementation of complex CCAR, ACL/CECL/IFRS9 and/or PPNR modeling environments working with large data sets, advanced statistical models, and SAS/other coding to effectively and efficiently execute models for purposes including Annual Stress Tests/CCAR, ACL/CECL/IFRS9, and model performance monitoring Establishing strong controls and creating consistent and robust execution processes across models Developing analytics around model results for enhancing forecast performance Understanding the trends within loan portfolios, their impact on model performance, and quantifying the risks not captured by models via management adjustments Maintaining documentation for key implementation processes across the team with focus on standardization of implementation and execution controlsRequired Qualifications7+ years of risk reporting experience, risk analytics experience, or a combination of both3+ years of leadership experienceDesired QualificationsExcellent verbal, written, and interpersonal communication skillsExtensive knowledge and understanding of research and analysisStrong analytical skills with high attention to detail and accuracyAbility to prioritize work, meet deadlines, achieve goals, and work under pressure in a dynamic and complex environmentAbility to interact with integrity and a high level of professionalism with all levels of team members and managementAbility to make timely and independent judgment decisions while working in a fast-paced and results-driven environmentOther Desired Qualifications Proficiency in model implementation and/or development of large and complex predictive models for forecasting credit or PPNR losses using SAS, SQL, or other programming environment. Understanding of predictive modeling techniques and a strong understanding of statistical testing necessary to assess model performance. Detail oriented, results driven, and has the ability to navigate in a quickly changing and high demand environment while balancing multiple priorities A deep understanding of data and analytics across multiple product classes, systems, and organizations. Demonstrated excellence at identifying stakeholders, understanding needs, and driving to resolution. Demonstrated excellence at developing sound model execution or reporting processes, evaluating, and enhancing existing processes. Knowledge of SR15-18, BCBS 239 and other regulatory requirements on data and model usage/applications. Experience creating documentation of code used for audit and/or training of other programmers Experience with UNIX/LINUX environmentsDisclaimerAll offers for employment with Wells Fargo are contingent upon the candidate having successfully completed a criminal background check. Wells Fargo will consider qualified candidates with criminal histories in a manner consistent with the requirements of applicable local, state and Federal law, including Section 19 of the Federal Deposit Insurance Act.Relevant military experience is considered for veterans and transitioning service men and women.Wells Fargo is an Affirmative Action and Equal Opportunity Employer, Minority/Female/Disabled/Veteran/Gender Identity/Sexual Orientation.

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