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Senior Quantitative Analytics Specialist - Credit Risk Modeling Job ID R-171721

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Wells Fargo
Atlanta, Georgia, United States
20 days ago

Description

About this role:

Wells Fargo is seeking a Senior Quantitative Analytics Specialist to join the Risk Modeling Group (RMG) within Corporate Risk.  The position will focus on development, implementation, and analytics of models for Commercial portfolios to support stress testing (CCAR/DFAST/internal financial assessments), allowance calculation (CECL and IFRS9), business loss forecasting and other financial analyses such as Recovery and Resolution Planning.  
In this role, you will:

This position joins a high functioning, high profile team and requires strong programming and analytics skills; ability to develop loss, balance and income 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 across multiple business uses.

  • Perform highly complex activities related to creation, implementation and documentation
  • Use highly complex statistical theory to quantify, analyze and manage markets
  • Forecast losses and compute capital requirements providing insights, regarding a wide array of business initiatives
  • Utilize structured securities and provide expertise on theory and mathematics behind the data
  • Manage credit risks to forecast losses and compute capital requirements
  • Participate in the discussion related to analytical strategies, modeling and forecasting methods
  • Collaborate and consult with regulators, auditors and individuals that are technically oriented and have excellent communication skills
  • Development of complex models for commercial loss, balance and income forecasting working with large data sets, advanced statistical models, and building Python/SAS/other codes to effectively and efficiently implement models under a production environment
  • 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 qualitative adjustments
  • Coherently supporting analyses to a variety of audiences, including end users, management, regulators, and review groups
  • Creating and maintaining comprehensive documentation for existing and newly developed models.  Comply with model risk and internal controls policies and procedures ensuring all active models are properly validated, monitored and maintained for sustained use.


Requirements

Required Qualifications, US:

  • 4+ years of Quantitative Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
  • Master's degree or higher in a quantitative field such as mathematics, statistics, engineering, physics, economics, or computer science


Desired Qualifications:

  • Modeling experience with Wholesale and Retails models
  • Excellent verbal, written, and interpersonal communication skills
  • Strong analytical skills with high attention to detail and accuracy
  • Expertise in Python or SAS programming and data manipulation using SQL
  • Knowledge and experience with development of credit risk or loss forecasting models using industry standard techniques such as binary / multinomial logistic and linear regression
  • Ability to identify and manage complex issues and negotiate solutions within a geographically dispersed organization
  • Ability to interact with integrity and a high level of professionalism with all levels of team members and management
  • Ability to make timely and independent judgment decisions while working in a fast-paced and results-driven environment
  • Experience and high degree of familiarity with advanced model development using PySpark and GitHub
  • Knowledge and experience with machine learning algorithms and time – series modeling
  • Experience with data and analytics across multiple product classes, systems, and organizations
  • Detail oriented, results driven, and has the ability to navigate in a quickly changing and high demand environment while balancing multiple priorities
  • Experience building Tableau dashboards for analyzing model forecasts
  • Knowledge of CECL, CCAR or IFRS-9 standards
  • Experience with UNIX/LINUX

Job Information

  • Job ID: 63757000
  • Location:
    Atlanta, Georgia, United States
    Charlotte, North Carolina, United States
    Irving, Texas, United States
    McLean, Virginia, United States
    Minneapolis, Minnesota, United States
    Tempe, Arizona, United States
    West Des Moines, Iowa, United States
  • Position Title: Senior Quantitative Analytics Specialist - Credit Risk Modeling Job ID R-171721
  • Company Name For Job: Wells Fargo
  • Industry: Banking / Accounting / Financial
  • Job Function: Other

About Wells Fargo Wells Fargo & Company (NYSE: WFC) is a leading financial services company that has approximately $1.9 trillion in assets and proudly serves one in three U.S. households and more than 10% of all middle market companies and small businesses in the U.S. We provide a diversified set of banking, investment and mortgage products and services, as well as consumer and commercial finance, through our four reportable operating segments: Consumer Banking and Lending, Commercial Banking, Corporate and Investment Banki...

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