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Senior Quantitative Analytics Specialist - Credit Risk Modeling

Company: Wells Fargo
Location: Atlanta
Posted on: August 7, 2022

Job 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.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
    • Masters degree or higher in a quantitative field such as mathematics, statistics, engineering, physics, economics, or computer scienceDesired 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 Expectations:
        • Preferred location(s) listed above. Other locations within the Wells Fargo footprint may be considered for current Wells Fargo employeesWe Value DiversityAt Wells Fargo, we believe in diversity, equity and inclusion in the workplace; accordingly, we welcome applications for employment from all qualified candidates, regardless of race, color, gender, national origin, religion, age, sexual orientation, gender identity, gender expression, genetic information, individuals with disabilities, pregnancy, marital status, status as a protected veteran or any other status protected by applicable law. Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business units risk appetite and all risk and compliance program requirements. Candidates applying to job openings posted in US: All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.

Keywords: Wells Fargo, Atlanta , Senior Quantitative Analytics Specialist - Credit Risk Modeling, Other , Atlanta, Georgia

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