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Quantitative Analytics Specialist 2 - Credit & Operational Risk Track (Quantitative Analytics Program 2020)

Learn more about Wells Fargo
Wells Fargo

Wells Fargo

Quantitative Analytics Specialist 2 - Credit & Operational Risk Track (Quantitative Analytics Program 2020)

San Francisco, CA
+2 locations
Charlotte, NC
Atlanta, GA
Full Time
  • Responsibilities


    Wells Fargo & Company is a nationwide, diversified, community-based financial services company that is headquartered in San Francisco with major locations around the country. Founded in 1852, Wells Fargo is one of the country’s oldest and most stable companies. We have more than 265,000 team members and serve about one in three households in the United States.

    We are looking for talented and ambitious individuals to join our large community of quants who are working on a wide range of problems in model development, model risk assessment, and audit. Areas of applications include: loss and revenue forecasting, credit decisions, financial crimes, fair lending, operational risks, and stress testing. We use state-of-the-art statistical, mathematical, and machine learning techniques to develop and assess models in these areas. We also use AI techniques (natural language processing, deep learning algorithms, and others) to model information in unstructured data (text, voice and images).


    This QA Program is an early talent program aimed at recruiting new PhDs and providing them with the opportunity to gain comprehensive professional and industry experience in order to develop, implement, calibrate, validate or audit quantitative models. The specialists will work with business units and other organizations on selected lending products, operational risk processes, model validation, or model audit. We provide an exciting and diverse environment where you’ll have the ability to work on interesting and challenging problems. You’ll also have the opportunity to move around the company as you use your problem-solving, organizational and communications skills to build your career.

    The program starts in June 2020 with a combination of orientation, classroom training, and professional development activities. Specialists will then be placed in a 12-month rotational program followed by placement within Centers of Excellence involved in Credit or Operational Risks. They will have the opportunity to influence risk management strategies, interact with senior leaders, excel through individual coaching and mentoring, and participate in team building activities. Hiring opportunities are available in Atlanta (GA), Charlotte (NC), McLean (VA), Minneapolis (MN) and San Francisco (CA).

    Duties include but are not limited to:

    • Performing statistical and mathematical model development/validation/audit;
    • Using Python, R, SAS, C++ and SQL or other programming languages and mathematical/statistical packages;
    • Contributing code to analytics libraries;
    • Producing required documentation to substantiate model development, validation and/or auditing;
    • Performing analytical research in response to requests or assignments and providing possible solutions to business needs
    • Analyzing processes and work flows to make recommendations for process improvement in various risk management and/or business areas as well as participating in and leading model risk projects.
  • Qualifications
    • A PhD in statistics, mathematics, physics, engineering, computer science, economics, or quantitative field; or a Master s degree in the above areas with 2+ years of experience in one or a combination of the previously mentioned fields above


    • The ideal candidate will have a PhD degree in Statistics, Computer Science, Economics/Econometrics, Operations Research, Engineering, or a related quantitative field;
    • This is an early talent program aimed at new graduates, and the applicants should have an expected graduation date between December 2019 – June 2020 (all PhD requirements including thesis defense MUST be completed by June 2020);
    • Experience and ability to demonstrate first-hand knowledge in several of these areas: data analytics, modeling, statistical inference, computing, big data analytics, AI (machine learning, natural language processing, etc.);
    • Excellent computer programing skills and use of statistical software packages such as Python, R, SAS, C++, and SQL;
    • Good verbal and written communication skills as well as interpersonal skills;
    • Ability to prioritize work, meet deadlines, achieve goals, and work under pressure in a dynamic and complex environment; and
    • Ability to develop partnerships and collaborate with other business and functional areas.


    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.

  • Industry
    Financial Services
  • Locations
    San Francisco, CA • Atlanta, GA • Charlotte, NC
  • About Us
    Wells Fargo’s historical bank has been serving communities since 1852—with customers in one in three households nationwide and 8,700 locations across 33 countries. Wells Fargo—“Most Admired” among the world’s largest banks by Fortune magazine—offers an extensive portfolio of banking, mortgage, insurance, investment, consumer, and commercial expertise for every financial need. The Vision, Values & Goals of Wells Fargo details the enduring principles that guide all Wells Fargo team members in the work they do every day — in serving customers and helping each other.