Wells Fargo is seeking a Lead Quantitative Analytics Specialist for Credit Risk modelling for Retail and commercial portfolio.
In this role, you will:
- Lead complex initiatives including creation, implementation, documentation, validation, articulation, and defence of highly statistical theory
- Use highly complex statistical theory to quantify, analyze and manage markets
- Forecast losses and compute capital requirements providing insights, regarding a wide array of business initiatives
- Utilize stochastic, structured securities, spread analysis, with the expertise in the theory and mathematics behind the analysis
- Review and assess models inclusive of technical, audit, and market perspectives
- Manage market, credit, and operational risks to forecast losses and compute capital requirements
- Participate in the discussion related to analytical strategies, modeling and forecasting methods
- Identify structure to influence global assessments, inclusive of technical, audit and market perspectives
- Collaborate and consult with regulators, auditors and individuals that are technically oriented and have excellent communication skills
- Development of regulatory Credit risk (including CCAR, CECL and IFRS), RRP Valuation, and PPNR models for Commercial portfolio in SAS/Python.
- Work closely with other team members to understand and enhance the data and modeling process behind existing models, develop new models, address data and model issues/findings.
- Underlying portfolio data research and analytics using strong programming skills
- Adhere to audit and model validation governance to ensure data and modeling process are in compliance with policy and are working as intended, address model validation and regulatory feedback issues
- Support ad-hoc analytic projects
Required Qualifications:
- 5+ years of Quantitative Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, education.
- Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science
- Experience in development of regulatory model (including CCAR, CECL and IFRS), RRP Valuation, and PPNR models for Commercial portfolio
- Good Written and Oral Communication Skills
- Ability to prioritize work, meet deadlines, achieve goals and work under pressure in a dynamic and complex environment
- Detail oriented, results driven, and has the ability to navigate in a quickly changing and high demand environment while balancing multiple priorities
- Understanding of bank regulatory data sets and other industry data sources
- Exposure to banking domain with strong functional knowledge in Credit Risk area on Commercial portfolio
Strong Quantitative Skills:
- 5+ years of Predictive modeling experience. Good understanding of model development and model testing.
- Proficient in statistical analysis
- Good Problem Solving and Analytical Skills.
Programming Skills:
- 2+ years of hands-on experience in Python and SQL
- 2+ years of experience in PySpark, GCP, parallel processing.
- Comfortable with Git, GitHub and UNIX commands
Job Expectations:
- Shift timings: 1:30 PM to 10:30 PM
- in office expectations: 4 - days a week
Posting End Date:
28 Oct 2026
*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.
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.
Skills Required
- 5+ years of Quantitative Analytics experience, or equivalent demonstrated through work experience, training, or education
- Master's degree or higher in mathematics, statistics, engineering, physics, economics, computer science, or another quantitative discipline
- Experience developing regulatory models including CCAR, CECL, and IFRS, as well as RRP Valuation and PPNR models for commercial portfolios
- Strong written and oral communication skills
- Ability to prioritize work, meet deadlines, achieve goals, and work under pressure in a dynamic and complex environment
- Detail orientation, results-driven approach, and ability to manage multiple priorities in a changing, high-demand environment
- Understanding of bank regulatory datasets and other industry data sources
- Strong functional knowledge of commercial portfolio credit risk and exposure to the banking domain
- 5+ years of predictive modeling experience with understanding of model development and testing
- Proficiency in statistical analysis
- Strong problem-solving and analytical skills
- 2+ years of hands-on experience with Python and SQL
- 2+ years of experience with PySpark, Google Cloud Platform, and parallel processing
- Comfort with Git, GitHub, and UNIX commands
Wells Fargo Compensation & Benefits Highlights
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Retirement Support — Retirement offerings are highlighted by a strong 401(k) with employer matching and added options like after‑tax contributions and an employee stock purchase plan, supporting long‑term savings. These features are presented as competitive elements of the total rewards package.
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Healthcare Strength — Medical, dental, and vision coverage are described as comprehensive, often starting on day one for eligible employees, with HSAs/FSAs, wellness incentives, and mental health resources available. Specialized care options, including fertility support, further enhance the health offering.
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Parental & Family Support — Paid parental leave of notable duration is available from the start of employment, alongside adoption/surrogacy/fertility programs. Caregiving and backup care resources deepen the family-oriented support.
Wells Fargo Insights
What We Do
Wells Fargo & Company (NYSE: WFC) is a leading financial services company that has approximately $2.2 trillion in assets. We provide a diversified set of banking, investment and mortgage products and services, as well as consumer and commercial finance, through our four reportable operating segments: Consumer Banking and Lending, Commercial Banking, Corporate and Investment Banking, and Wealth & Investment Management. Wells Fargo ranked No. 33 on Fortune’s 2025 rankings of America’s largest corporations. Our technology professionals drive innovation, information security, and big data analytics while maintaining a network that handles more than 12 billion customer interactions a year. Join us! Are you looking for more? Find it here. At Wells Fargo, we're more than a financial services leader – we’re a global trailblazer committed to driving innovation, empowering communities, and helping our customers succeed. We believe that a meaningful career is much more than just a job – it’s about finding all of the elements to help you thrive, in one place. Living the Well Life means you’re supported in life, not just work. It means having robust benefits, competitive compensation, and programs designed to help you find work-life balance and well-being. You’ll be rewarded for investing in your community, celebrated for being your authentic self, and empowered to grow. And we’re recognized for it — Wells Fargo continues to rank on the LinkedIn Top Companies lists of best workplaces “to grow your career.” 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. © 2026 Wells Fargo Bank, N.A. All rights reserved. Member FDIC.
Why Work With Us
We're known for our “Well Life” approach to supporting employees’ career aspirations, work-life balance, and mental and physical health. Wells Fargo continues to rank on the LinkedIn Top Companies lists of best workplaces “to grow your career.”
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