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Quantitative Analytics Cons 1

Company: Wells Fargo
Location: Wilmington
Posted on: October 12, 2019

Job Description:

Job Description
At Wells Fargo, we want to satisfy our customers' financial needs and help them succeed financially. We're looking for talented people who will put our customers at the center of everything we do. Join our diverse and inclusive team where you'll feel valued and inspired to contribute your unique skills and experience.Help us build a better Wells Fargo. It all begins with outstanding talent. It all begins with you.Corporate Risk helps all Wells Fargo businesses identify and manage risk. The team focuses on several key risk types, including conduct, credit, financial crimes, information security, interest rate, liquidity, market, model, operational, regulatory compliance, reputation, strategic, and technology risk.The group provides leadership, enhances communications, assists with problem identification and solutions, and shares best practices. In addition, the group provides an enterprise-wide view of risk, assists management and our Board of Directors in identifying and monitoring risks that may affect multiple lines of business, and takes appropriate action when business activities exceed the risk tolerance of the company.The Credit and PPNR Modeling (CAPM) Center of Excellence (CoE) resides within Corporate Credit and Market Risk and is responsible for development and implementation of the following models:

  • Credit loss estimation models for the entire loan portfolio to support estimation of risk weighted assets (RWA) in compliance with BASEL regulations; allowance for credit loss (including current expected credit loss preparation); and, economically sensitive credit loss estimation in compliance with Dodd Frank and the Comprehensive Capital Analysis and Reporting exercises (CCAR).
  • Models to support Pre-Provision Net Revenue (PPNR) estimates including forecasting models to support Dodd Frank and the Comprehensive Capital Analysis and Reporting exercises (CCAR).We are seeking a dynamic individual with experience in predictive modeling and data analysis to join the Commercial Modeling Team that is responsible for developing, documenting, and supporting Commercial portfolio in the following areas:
    • Credit Loss forecast models for Allowance, Stress Testing and Capital
    • Balance/Interest Income forecast modelsThe bank leverages these models for the stress testing, reserve and capital setting processes for various commercial portfolios and segments. This position requires application of analytical, statistical modeling, and forecasting methods and focuses on the theory and mathematics behind the analyses.This position joins a high functioning, high profile team and requires the presence and professional demeanor necessary to interact effectively with team members across CaPM, Lines of Business (LOB), oversight, validation, and audit organizations. The candidate must demonstrate strong modeling and data analysis skills, ability to understand various product features and underlying data and models.Responsibilities of this role will include, but not be limited to the following:
      • Develop and document models to forecast credit losses, balances/interest income for commercial portfolio segments
      • Develop necessary data analytics and processes during model development process for enhancing model performance
      • Provide analytical support and offer insights for analytic projects, data research, and modeling research
      • Contribute to the improvement of model development, implementation, and use practices
      • Work closely with line of business partners to enhance the theory behind existing models and forecast, address data and model questions
      • Adhere to model validation governance to ensure models are in compliance with policy and are working as intended, address model validation and regulatory feedback
      • Coherently support analysis and effectively communicate with business partners, model validation, audit, and regulators as required

        Required Qualifications
        • 1 + year of experience building predictive models
        • A master's degree or higher in a quantitative field such as mathematics, statistics, engineering, physics, economics, or computer science
        • 2+ years of experience in an advanced scientific or mathematical field

          Desired Qualifications
          • Excellent verbal, written, and interpersonal communication skills
          • An active Chartered Financial Analyst (CFA) designation

            Other Desired Qualifications
            • A PhD in a quantitative discipline such as mathematics, statistics, engineering, physics, quantitative finance, economics or computer sciences, with strong quantitative and analytical skills
            • Direct experience in model development for loss forecasting
            • Sound understanding of credit portfolio modeling techniques o In-depth understanding of linear models, logistic regression, hazard models, time series and Monte Carlo simulation o Ability to articulate the strengths and weaknesses of various predictive modeling techniques o Strong understanding of statistical testing necessary to assess model performance
              • Strong programming, large scale data querying (SQL) and analysis skills o Advanced SAS, Python and R programming experience o Experience implementing, coding and de-bugging large and complex models
                • Knowledge of either Commercial or Retail Banking credit and deposit products
                • Experience in writing strong model documentation and creating analytical presentations
                • Intellectually curious, self-motivated with strong interests in developing new methods, processes and approaches
                • Detail oriented, results driven, and able to balance priorities in dynamic environment

                  Street Address
                  MN-Minneapolis: 600 S 4th St - Minneapolis, MN
                  NC-Charlotte: 11625 N Community House Road - Charlotte, NC


                  Disclaimer

                  All 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.

Keywords: Wells Fargo, Wilmington , Quantitative Analytics Cons 1, Accounting, Auditing , Wilmington, Delaware

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