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Model Implementation and Automated Decisioning Senior Analyst

Wells Fargo

This is a Full-time position in Irving, TX posted May 30, 2021.

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 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 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 value and promote diversity and inclusion in every aspect of our business and at every level of our organization.

Wells Fargo Risk Modeling Group (RMG) has an immediate opening for a Credit Risk Analytics Senior Associate within the Commercial Credit Decision Modeling (CCDM) Team, responsible for overseeing all aspects of Automated Decisioning Strategies and Implementation of Commercial Models used by the Distribution Finance (DF) and Secure Leasing & Lending (SLL) lines of business.

The role will report directly to the DF-IF and SLL-CVG Team Lead within the Model Implementation & Automated Decisioning Team.

Responsible for performing the most complex activities related to implementation of statistical models leveraged in DF and SLL automated decisioning strategies, and on-going maintenance of those strategies.

Duties may include, but not limited to:
Implementation and coding of statistical models leveraged in the automated decisioning strategies, including testing of changes.

Wing-to-wing design, execution, testing, and on-going maintenance of automated decisioning strategies for the DF and SLL lines of business.

Perform impact analysis and cost-benefit-analyses with large datasets to convey potential strategy variants with the line of business stakeholders, and to maximize automation rate while minimizing credit and/or operating losses and other risk exposures.

Communication with line of business management and model governance stakeholders to effectively collaborate and identify and implement technical solutions to business needs.

Post-production monitoring/validation of changes in accordance with the team’s change management guidelines.

Conduct analytics to validate and monitor the performance of existing strategies and recommend modifications on observed trends in the data where needed.

Collaborate with model developers and subsequently implement and document model logic and testing results in accordance with team Change Management and Wells Fargo Model Governance guidelines.

Provide essential training and ongoing end user business support regarding metrics, model use, business rules, and other automated decisioning issues.

Perform detailed project planning and manage multiple projects concurrently in a fast-paced environment.

May partner with cross enterprise risk analyst in development of common modeling strategies.

May provide work direction to lower level analysts/consultants.

May manage large scale cross functional / cross business unit projects.

May be responsible for authoring technical documentation related to model implementation and credit decision strategy design/deployment.

Required Qualifications
2+ years of SAS programming experience 5+ years of risk reporting experience, risk analytics experience, or a combination of both; or 2+ years of experience in a risk role and a Master’s degree or higher in a quantitative field such as statistics, economics, mathematics, operations research, engineering, or business
Desired Qualifications
Excellent verbal, written, and interpersonal communication skills Strong attention to detail and accuracy skills
Other Desired Qualifications 3+ years of hands-on SAS and Python programming experience Experience working with large datasets and performing complex data manipulations in SAS or Python Advanced abilities in data manipulation, summarization, and drawing data-driven conclusions Ability to work independently, to deliver quality results, and to manage projects to meet deadlines Self-motivated and confident in partnering with internal and external stakeholders Knowledge of commercial and consumer bureau data/processes/scoring techniques Strong skills in other data management, reporting, and query tools Strong time management and change management skills Commercial industry experience and/or business knowledge Experience working with credit risk data Strong analytical/quantitative problem solving skills Ability to work well in team environment, independently and across organizational boundaries Familiarity with credit modeling, probability of default (PD) models, and/or loss forecasting Python/Hadoop knowledge Ability to ‘connect the dots’ or see the big picture and find solutions Job Expectations
Ability to travel up to 5% of the time
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.

Benefits Summary
Benefits

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