Quantitative Analytics Specialist 1: Credit and Operational Risks Track

Wells Fargo Charlotte, NC

About the Job

Job Description

Important Note: During the application process, ensure your contact information (email and phone number) is up to date and upload your current resume prior to 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 want to satisfy our customers’ financial needs and help them succeed financially. We’re looking for talented people who will put our customers at the center of everything we do. Join our diverse and inclusive team where you’ll feel valued and inspired to contribute your unique skills and experience.

Help us build a better Wells Fargo. It all begins with outstanding talent. It all begins with you.

Corporate Risk helps all Wells Fargo businesses identify and manage risk. The team focuses on several key risk types, including conduct, credit, financial crimes, information security, interest rate, liquidity, market, model, operational, regulatory compliance, reputation, strategic, and technology risk. The group provides leadership, enhances communications, assists with problem identification and solutions, and shares best practices. In addition, the group provides an enterprise-wide view of risk, assists management and our Board of Directors in identifying and monitoring risks that may affect multiple lines of business, and takes appropriate action when business activities exceed the risk tolerance of the company.

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).

Corporate Model Risk (CMoR):
CMoR is Wells Fargo’s center of excellence for validating all models in the enterprise. Validation involves assessing all aspects of model risk: data quality and bias, replication development models, assessing their assumptions and limitations, and developing benchmark models to challenge performance, interpretability, and so on. CMoR has more than 150 quants who validate a variety of models in credit and operational risks as well as capital markets.  We are looking for talented and ambitious individuals to join our community of quants. We provide an exciting and diverse environment where you’ll have the ability to work on interesting and challenging problems, using traditional as well as cutting-edge techniques to assess model risks. You’ll also have the opportunity to use your problem-solving, organizational and communications skills to build your career.

The Credit & Operational Risks track deals with developing and validating statistical, econometric, and machine learning models for a variety of applications: loss and revenue forecasting, credit decisions, financial crimes, fair lending, operational risks, stress testing, etc.

  • Performing statistical and mathematical model assessment and benchmark model development;
  • Using Python, R, SAS, C++ and SQL or other programming languages and statistical/mathematical packages;
  • Producing required documentation to substantiate model validation; and
  • 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.


Required Qualifications

  • A Master s degree or higher in statistics, mathematics, physics, engineering, computer science, economics, or quantitative field





Other Desired Qualifications
  • Experience and ability to demonstrate first-hand knowledge in several of these areas: data analysis, predictive modeling, statistical inference, computing, big data, machine learning, and natural language processing;
  • Excellent computer programing skills and use of 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 in a dynamic and complex environment; and
  • Ability to develop partnerships and collaborate with other business and functional areas.




Street Address

NC-Charlotte: 401 S Tryon St - Charlotte, NC
CA-SF-Financial District: 550 California St - San Francisco, CA
VA-McLean: 1753 Pinnacle Dr - Mclean, VA
NY-New York: 150 E 42nd St - New York, NY



Disclaimer


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.