Senior Quantitative Model Solutions Specialist

Posted 3 Hours Ago
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Bengaluru, Bengaluru Urban, Karnataka, IND
Hybrid
Senior level
Fintech • Financial Services
Wells Fargo: Tech-powered. Innovation-led. We're transforming financial services.
The Role
Develops, implements, documents, and monitors complex quantitative risk models. Uses statistical theory, Python, PySpark, and model deployment frameworks to forecast market, credit, and operational losses and calculate capital requirements. Supports regulatory credit-risk models, model analytics, production implementation, and monitoring. Collaborates with regulators, auditors, and technical stakeholders while contributing to modeling strategies, documentation, risk assessments, and project execution.
Summary Generated by Built In
About this role:
Wells Fargo is seeking a Senior Quantitative Model Solutions Specialist.
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 markets
  • Forecast losses and compute capital requirements providing insights, regarding a wide array of business initiatives
  • Utilize structured securities and provide expertise on theory and mathematics behind the data
  • 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
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
  • Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science
Desired Qualifications:
  • 4+ years of advanced programming expertise in Python
  • Bachelor's or Master's degree in Quantitative Finance/ Statistics/ Economics/ Computer Science, or related field
  • 4+ years of experience in Python, PySpark, and model deployment frameworks, along with a deep understanding of credit risk modeling
  • Experience in Implementation/Development of regulatory Credit risk (including CCAR, CECL and IFRS), RRP Valuation, and PPNR models.
  • Experience in model implementation, production, monitoring and model analytics.
  • Strong documentation and project management capabilities with ability to prioritize work, meet deadlines, achieve goals, and work under pressure in a dynamic and complex environment
  • Excellent verbal, written, and interpersonal communication skills
  • Strong ability to develop partnerships and collaborate with other business and functional areas
Posting End Date:
20 Aug 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

  • 4+ years of Quantitative Analytics experience or equivalent demonstrated through work experience, training, military experience, or education
  • Master's degree or higher in mathematics, statistics, engineering, physics, economics, computer science, or another quantitative discipline
  • 4+ years of advanced programming expertise in Python
  • Bachelor's or Master's degree in Quantitative Finance, Statistics, Economics, Computer Science, or a related field
  • 4+ years of experience with Python, PySpark, model deployment frameworks, and credit risk modeling
  • Experience implementing or developing regulatory credit risk models, including CCAR, CECL, and IFRS models
  • Experience with RRP Valuation and PPNR models
  • Experience in model implementation, production, monitoring, and model analytics
  • Strong documentation and project management capabilities
  • Ability to prioritize work, meet deadlines, achieve goals, and work under pressure in a dynamic environment
  • Excellent verbal, written, and interpersonal communication skills
  • Ability to develop partnerships and collaborate with business and functional areas

Wells Fargo Compensation & Benefits Highlights

  • Retirement Support Retirement support is anchored by a dollar‑for‑dollar 401(k) match on employee contributions after one year of service, with an additional non‑matching company contribution for some lower‑paid employees. Access to an employee stock purchase plan further expands long‑term savings opportunities.
  • Parental & Family Support Family supports include up to 16 weeks of paid parental leave available from the first day of employment, plus paid critical‑caregiving leave and extensive backup care options. Fertility, adoption, and surrogacy programs are highlighted with meaningful coverage and reimbursements, including a combined lifetime maximum up to $35,000 for eligible expenses.
  • Healthcare Strength Health coverage is comprehensive from day one, spanning medical, dental, vision, mental health, prescriptions, and preventive care often fully covered in‑network. Employer cost‑sharing is emphasized alongside no‑cost counseling through the EAP within plan limits.

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The Company
HQ: San Francisco, CA
205,000 Employees
Year Founded: 1852

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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