Credit Risk Analytics Cons 1

Job Description

Credit Risk Analytics Cons 1 Job ID 37986BR Location Bengaluru, India; Wells Fargo & Company (NYSE: WFC) is a leading global financial services company with $2.0 trillion in assets and offices in over 37 countries. Founded in 1852 and headquartered in San Francisco, Wells Fargo provides asset management, capital raising and advisory, financing, foreign exchange, payments, risk management, and trade finance services to support customers who conduct business in the global economy. At Wells Fargo, we want to satisfy our customers financial needs and help them succeed financially. We also value the viewpoints of our team members and encourage them to be their best. 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. Learn more at our International Careers website.Market Job DescriptionAbout Enterprise Global ServicesEnterprise Global Services (EGS) enables global talent capabilities for Wells Fargo Bank NA., by supporting over half of Wells Fargos business lines and staff functions across Technology, Business Services, Risk Services and Knowledge Services. EGS operates in Hyderabad, Bengaluru and Chennai in India and in Manila, Philippines. Learn more about EGS at our International Careers website.Department OverviewThe Credit and PPNR Modeling (CaPM) Center of Excellence is a COE within Corporate Credit and Market Risk.The Credit and PPNR Model Development is responsible for model development and implementation of the following model types:Pre-Provision Net Revenue (PPNR) estimates including forecasting models to support Dodd Frank Stress testing and the Comprehensive Capital Analysis and Reporting exercises (CCAR).Credit loss estimation models for the entire loan portfolio to support allowance for credit loss (including current expected credit loss preparation); 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 Reporting exercises (CCAR).About the RoleYou will work as part of the Middle Office team. You will interact closely with multiples business partners including the Market Risk, Credit Risk and Legal.Responsibilities:Keeps oneself abreast of the latest changes in the modeling world in terms of techniques/toolsInvolved in R&D for the problems confronting the world of regulatory capital modelingOut of box thinking to solve the problemsDevise new solutions/techniques for critical projects in the modeling worldDevelop balance, non-interest income, and expense forecasting modelsDevelop and document models to forecast conditional results indicative of both Wells Fargo and industry level performanceValidate models in the PPNR space (fee income and expense, balance sheet)Work closely with the CaPM partners to develop and enhance the theory and business logic behind the models and forecasts; address data and model questions from our partners, model validation, and regulators.Data Research and Analytics with deep-dive into databases like EssbaseAdhere to model validation governance to ensure models are in compliance with policy and are working as intended, address model validation and regulatory feedback issuesCoherently support analysis to business partners, model validation, audit and regulatorsAbility to meet tight deadlines and work on multiple projects around the CCAR peak seasonAbility to work overlap hours with US teamSplit Shift with 12.30 PM to 9.30PM or 1.30 PM to 10.30 PMEssential Qualifications:PhD in a Quantitative discipline (Quant): Economics, Statistics, Physics, Mathematics etc with 0-1 year of relevant experience.Excellent verbal, written, and interpersonal communication skillsKnowledge and understanding of regulatory compliance requirements surrounding CCAR/DFAST, Risk Appetite and Stress TestingExperience driving balance sheet, fee income, and/or expense modeling and strategy (NII, NIE)Extensive Knowledge of time-series models including ECMState Space models (Kalman Filter et al)Comfortable with applying techniques including but not limited to OLS, LME (Linear Mixed Effects) Model, Logistic regression, and LASSO/Ridge RegressionDesired Qualifications:Ability to prioritize work, meet deadlines, achieve goals and work under pressure in a dynamic and complex environmentDetail oriented, results driven, and has the ability to navigate in a quickly changing and high demand environment while balancing multiple prioritiesUnderstanding of bank regulatory data sets and other industry data sourcesWe Value DiversityAt 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.RegionAPACLocationKarnataka

Keyskills :
trade financeasset managementfinancial servicescorporate creditmodel validationloan portfoliorisk managementforeign exchangecredit riskbaselmarket riskriskccar