Quantitative Analytics Cons 1

Wells Fargo - McLean, VA3.7

Job Description
At Wells Fargo, we want to satisfy our customers’ financial needs and help them succeed financially. We are looking for talented people who will put our customers at the center of everything we do. Join our diverse and inclusive team where you will 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. We focus on three key risk areas: credit risk, operational risk and market risk. We help our management and Board of Directors identify and monitor risks that may affect multiple lines of business, and take appropriate action when business activities exceed the risk tolerance of the company

It starts with you. We must attract, develop, retain and motivate the most talented people – those who care and who work together as partners across business units and functions. We believe everyone on our team is important and deserves respect for who they are and how they contribute to our success.

Home Lending Basel Modeling and Analytics Team has an open position for a Quantitative Analytical Consultant I. 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 might include:
  • Responsible for model design, development and testing of the PD (Probability of default ), Loss Given Default (LGD) under the framework of Basel III
  • Development , design and maintenance of Credit Risk Grades
  • 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
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 science

Desired Qualifications

Excellent verbal, written, and interpersonal communication skills

Other Desired Qualifications
5 years credit risk modeling/analytical experience in banking or financial service industry
5 years developing PD, LGD models using regression and decision tree models
Strong analytical & quantitative problem-solving skills
Results-driven attitude committed to the highest quality work.
5 years of SAS (base,macro,SQL,stat,Enterprise Miner), Python programming & large datasets
Strong proficiency with Excel and Power Point
Ph.D. in finance, economics, statistics, operations research, or other quantitative disciplines
Retail Basel III and/or Economic Capital modeling experience
Background in Mortgage Risk Management and Analysis
Strong quantitative/statistical modeling skill, documentation and validation
Develops own creative ideas and can evaluate and endorse other’s ideas
Knowledge of supervised and unsupervised machine learning methodology


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.