Quantitative Model Solutions Specialist

About the Role

Wells Fargo is seeking a Quantitative Model Solutions Specialist to support monitoring for Retail models.

The Retail Credit Decision Modeling team is responsible for model development and model monitoring for all Retail portfolios.
 

In this role, you will:

• Participate in or help entry-level positions with low to moderately complex model maintenance and optimization initiatives related to operational processes, controls, reporting, testing, implementation, and documentation
• Analyze basic data sets, quantitative models, and model output to validate model efficiency and results in support of business opportunities
• Provide design thinking and best practices to resolve basic model optimization methodology and processes
• Present recommendations to leadership for resolving low to moderately complex situations by exercising independent judgment while developing expertise in quantitative model operations
• Collaborate and consult with peers, colleagues, and managers to resolve issues and achieve goals
• Manage end to end model monitoring for specific line of business in retail portfolio.
• Coordinating the various activities related to business analysis and model monitoring.
• Participate in the development and testing of various analytical models for business unit.
• Develop methods to enhance the existing process to add efficiency, transparency and consistency while maintaining quality and responsiveness standards.
• Trouble-shoot issues and pro-actively enact solutions in real time.

Required Qualifications:

• 2+ years of quantitative model solutions or quantitative model operations experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

Desired Qualification:

• 2+ years of experience in scorecard development, model monitoring, risk analytics experience, or a combination of both.
• Advanced degree in statistics, finance, math, engineering, or similar quantitative disciplines.
• Proficient in Python or R or SAS
• Bachelor’s degree in engineering in any field
• Proficient in Tableau, Power BI, or any of business intelligence tools
• Experience in producing high quality technical documentation with tools such as Excel. Word, and PowerPoint
• Excellent verbal and communication skills
• Advanced degree in statistics, finance, math, engineering or similar quantitative disciplines
• Good Python skills in performing complex data manipulation and modeling in Python
• Excellent analytical ability in interpreting data, analytical results to draw insights to develop credit scoring models and help business manage the credit risk effectively
• Familiarity with U.S based Bureau Data
• Excellent problem-solving skills and ability to connect dots, see big picture and find solutions and articulate in a clear manner
• Understanding of process, methodologies used in credit scoring model development, implementation, validation, and monitoring
• Ability to effectively manage multiple assignments with challenging timelines
• Experience in statistical modeling techniques
• Strong writing skills necessary for the review of highly detailed model documentation and reporting
• Flexibility and ability to thrive in a fast-paced, rapidly changing, highly complex environment

Posting End Date: 

*Job posting may come down early due to volume of applicants.

We Value Diversity

At Wells Fargo, we believe in diversity, equity and inclusion in the workplace; accordingly, we welcome applications for employment from all qualified candidates, regardless of race, color, gender, national origin, religion, age, sexual orientation, gender identity, gender expression, genetic information, individuals with disabilities, pregnancy, marital status, status as a protected veteran or any other status protected by applicable law.

Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit’s risk appetite and all risk and compliance program requirements.

Candidates applying to job openings posted in US: All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.

Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.

Applicants with Disabilities

To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.

Drug and Alcohol Policy

Wells Fargo maintains a drug free workplace.  Please see our Drug and Alcohol Policy to learn more.

Wells Fargo Recruitment and Hiring Requirements:

a. Third-Party recordings are prohibited unless authorized by Wells Fargo.

b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.