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Quantitative Analytics Specialist 3

Company: Wells Fargo
Location: Mc Lean
Posted on: November 23, 2021

Job Description:

Job DescriptionImportant Note: During the application process, ensure your contact information (email and phone number) is up to date and upload your current resume when submitting your application for consideration. To participate in some selection activities you will need to respond to an invitation. The invitation can be sent by both email and text message. --In order to receive text message invitations, your profile must include a mobile phone number designated as ---Personal Cell--- or ---Cellular--- in the contact information of your application.At Wells Fargo, we are looking for talented people who will put our customers at the center of everything we do. We are seeking candidates who embrace diversity, equity and inclusion in a workplace where everyone feels valued and inspired.Help us build a better Wells Fargo. It all begins with outstanding talent. It all begins with you.As the company's second line of defense, Corporate Risk --- or Independent Risk Management --- provides independent oversight of risk-taking activities. Independent Risk Management establishes and maintains Wells Fargo's risk management program and provides oversight, including challenges to and independent assessment of, the frontline's execution of its risk management responsibilities. We manage risk according to the Risk Management Framework and ensure all employees understand their individual accountability for managing risk. Corporate Risk roles depend on a variety of skills, including: Data analysis and synthesis, root cause analysis, change management, process management & execution, risk governance, risk strategy, risk identification & assessment, risk prevention, controls & mitigation, risk monitoring, reporting & escalation, risk systems & technology.THE ROLESecured Lending Basel Modeling and Analytics Team has an open position for a Quantitative Analytics Specialist 3. The role of this position is to support the development, validation and maintenance of Basel credit risk modeling activities. We are looking for individuals with strong credit risk modeling experience, strong SAS programming, analytical and quantitative skills.Key responsibilities to include:--

  • Responsible for model design, development and testing of the PD (Probability of default), Loss Given Default (LGD) and Exposure at Default (EAD) under the framework of Basel III--
  • Responsible for documenting and presenting detailed model development processes and results, suitable for a variety of audiences.
  • Prepare ad-hoc analysis and reporting as requested
  • Collaborate with key business models users to ensure models are business driven, properly implemented and run
  • Respond to ongoing analytical requests from auditors and regulatory reviewers--*** LOCATION: Selected candidates will be required to work at one of the Wells Fargo locations as posted: Charlotte, NC, Minneapolis, MN, West Des Moines or McLean, VA.--Required Qualifications
    • 2+ years of experience in an advanced scientific or mathematical field
    • A master's degree or higher in a quantitative field such as mathematics, statistics, engineering, physics, economics, or computer scienceDesired Qualifications
      • Excellent verbal, written, and interpersonal communication skills
      • Strong analytical skills with high attention to detail and accuracy
      • Ability to handle confidential material in a professional manner
      • Ability to take on a high level of responsibility, initiative, and accountability
      • Ability to articulate complex concepts in a clear manner
      • Ability to interact with integrity and a high level of professionalism with all levels of team members and management
      • Ability to organize and manage multiple priorities
      • Ability to execute in a fast paced, high demand, environment while balancing multiple priorities
      • Ability to identify and manage complex issues and negotiate solutions within a geographically dispersed organization
      • Ability to exercise independent judgment to identify and resolve problems
      • Advanced Microsoft Office (Word, Excel, Outlook and PowerPoint) skillsOther Desired Qualifications
        • Ph.D. in finance, economics, statistics, operations research, or other quantitative disciplines
        • 5+ years of credit risk modeling/analytical experience in banking or financial service industry
        • Demonstrated experience developing PD, LGD, EAD models using regression models and decision tree models / Machine learning (ML)
        • Possess strong Python Scientific Stack such as: NumPy, Pandas, SciPy, MatplotLib -- --PySpark.--
        • Proficient in SAS --base, SAS macro, SAS SQL, SAS stat, SAS Enterprise Miner with experience in working with large datasets--
        • Knowledge of supervised and unsupervised machine learning methodology--
        • Knowledge of, and hands-on experience with, statistical model development/validation, utilizing best modeling practices and methodologies in the areas of data processing, sampling, model design/specification, model performance assessment, and evaluation testing
        • Background in Mortgage and Auto Risk Management and Analysis--
        • Ability to develop own creative ideas and can evaluate and endorse other---s ideasDisclaimer
          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.Benefits SummaryBenefits--Visit https://www.wellsfargo.com/about/careers/benefits--for benefits information.

Keywords: Wells Fargo, Washington DC , Quantitative Analytics Specialist 3, Accounting, Auditing , Mc Lean, DC

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