Senior Quantitative Analytics Specialist

About this role:

Wells Fargo is seeking a Senior Quantitative Analytics Specialist to join our team. This role supports the development, implementation, and enhancement of advanced analytical models and methodologies used to evaluate and manage credit risk. The successful candidate will leverage statistical, econometric, and machine learning techniques to deliver insights that support credit decisioning, portfolio management, and business strategy. This position offers an opportunity to collaborate with business partners, model developers, risk professionals and auditors while working with large-scale data and innovative analytical solutions.

In this role, you will:

• Perform highly complex activities related to creation, implementation, and documentation

• Use highly complex statistical theory to quantify, analyze and manage credit risk.

• Participate in the discussion related to analytical strategies, modeling and forecasting methods

• Collaborate and consult with regulators, auditors and individuals that are technically oriented and have excellent communication skills

Required Qualifications:

• 4+ years of Quantitative Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

• Masters degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science

Desired Qualifications:

• Data analysis, modeling, and programming experience using SAS and Python or R

• Experience contributing to and maintaining code within a collaborative team environment.
• Significant analytic experience in statistical, econometric, and machine learning approaches to data analysis and modeling

• Experience working with relational databases and S3 or Iceberg data file systems and distributed data processing tools such as Spark

• Theoretical and applied knowledge pertinent to build Credit Decisioning models using advanced statistical techniques/machine learning for credit decisioning and account management

• Experience with linear model and Machine Learning techniques including time-series, OLS, logistic regression, hazard models, panel regression, gradient boosted decision trees

Job Expectations

• This position offers a hybrid work schedule
• Current requirements are 3 days in-office?
• Willingness to work on-site at stated location on the job opening
• This position is not eligible for Visa sponsorship
• Specific compliance policies may apply regarding outside activities or personal investing; affected employees will be expected to provide information to the Wells Fargo Personal Account Dealing Team and abide by applicable policy requirements if hired. Information will be shared about expectations during the recruitment process

Job Locations

• 109667-MN-600 Wells Fargo, Minneapolis
• 109845-NC-Brigham Building, Charlotte
• 112847-TX-Las Colinas Bldg B, Irving Campus
• 137711-IA-Northstar Building, Des Moines

Additional Information:

Minneapolis, Minnesota Pay Range: $153,000 - $239,000 USD Annual (this range may not be applicable to other locations)

Pay Range
 

Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to demonstrated examples of prior performance, skills, experience, or work location. Employees may also be eligible for incentive opportunities.

Benefits

Wells Fargo provides eligible employees with a comprehensive set of benefits, many of which are listed below. Visit Benefits - Wells Fargo Jobs for an overview of the following benefit plans and programs offered to employees.

• Health benefits
• 401(k) Plan
• Paid time off
• Disability benefits
• Life insurance, critical illness insurance, and accident insurance
• Parental leave
• Critical caregiving leave
• Discounts and savings
• Commuter benefits
• Tuition reimbursement
• Scholarships for dependent children
• Adoption reimbursement

Posting End Date:

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

We Value Equal Opportunity

Wells Fargo is an equal opportunity employer. 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.

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.

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.