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Lead Quantitative Analytics Specialist - Credit Risk Modeling

Company: Wells Fargo
Location: Tempe
Posted on: September 24, 2022

Job Description:

About this role:Wells Fargo is seeking a Lead Quantitative Analytics Specialist...

  • Wells Fargo is seeking a Lead Quantitative Analytics Specialist for the unsecured modeling group. The position is to support the development, management and maintenance of loss and balance modes for Wells Fargo's unsecured portfolios. We are seeking individuals with strong modeling experience, Python programming, and quantitative, analytical and communication skills.In this role, you will:
    • Perform highly complex analytics and develop sophisticated statistical models related to credit loss and PPNR exercises.
    • Be responsive for design, development, testing, implementation, documentation and defense for loss and balance models in loss reserve, business forecast and stress testing.
    • Provide actionable insights in interpreting credit losses and PPNR model results in model life cycle from development, validation, application to monitoring.
    • Deliver clear and concise written documentation and oral presentation on analytics and modeling results suitable for audiences of varying technical acumen
    • Collaborate within team and cross RMG as well as business partners including risk, finance, CMoR and CFMO.
    • Prepare ad-hoc analysis and reporting as requestedRequired Qualifications, US:
      • 5+ 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 scienceDesired Qualifications:
        • Possess strong Python/PySpark/R/SAS programming skills with experiences in handling large datasets with efficiency and effectiveness
        • Knowledge of, and hands-on experience with statistical model development, utilizing best practices in data processing, sampling, model design, model development, model performance assessment and testing, model implementation
        • Possess a results-driven attitude committed to the highest quality work
        • Possess intellectual curiosity and desire to find answers with perseveranceJob Expectations:
          • Demonstrate accountability and deliver high quality work with accuracy and efficiency
          • Collaborate with key business partners and users to ensure models are business driven, properly implemented and run
          • Ability to work at one of the approved locations in the job posting once Wells Fargo returns to the Standard Operating Model. Posting Locations:
            • Charlotte, NC
            • McLean, VA
            • West Des Moines, IA
            • Minneapolis, MN
            • Tempe, AZ
            • Dallas, TXPreferred location(s) listed above. Other locations within the Wells Fargo footprint may be considered for current Wells Fargo employees ONLY.We Value Diversity At 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 unit's 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, Tempe , Lead Quantitative Analytics Specialist - Credit Risk Modeling, Other , Tempe, Arizona

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