Lead Quantitative Analytics Specialist at Wells Fargo

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

20 Dec, 25

Salary

0.0

Posted On

21 Sep, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Quantitative Analytics, Statistical Theory, Credit Risk, Operational Risk, Predictive Modeling, Statistical Analysis, Python, SQL, SAS, Problem Solving, Analytical Skills, Model Development, Model Validation, Regulatory Compliance, Communication Skills, Data Analysis

Industry

Financial Services

Description

About this role: Wells Fargo is seeking a Lead Quantitative Analytics Specialist. In this role, you will: Lead complex initiatives including creation, implementation, documentation, validation, articulation, and defense of highly statistical theory Qualify monitor markets and forecast credit and operational risks Strategize short and long-term objectives, and provide analytical support for 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 Identify structure and scope of review Enable decision making for product and marketing with broad impact and act as key participant to develop and document analytical models Collaborate and consult with regulators and auditors Present results of analysis and strategies Required Qualifications: 5+ 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: Lead the development of regulatory model (including CCAR, CECL and IFRS), RRP Valuation, and PPNR models for Commercial portfolio Lead complex initiatives including creation, implementation, documentation, validation, articulation, and defense of highly statistical theory Qualify monitor markets and forecast credit and operational risks Strategize short and long-term objectives, and provide analytical support for 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 Identify structure and scope of review Enable decision making for product and marketing with broad impact and act as key participant to develop and document analytical models Collaborate and consult with regulators and auditors Present results of analysis and strategies Overall experience of 8-14 years in Risk Analytics Degree in applied mathematics, statistics, engineering, physics, accounting, finance, economics, econometrics, computer sciences, or business/social and behavioral sciences with a quantitative emphasis. Strong Quantitative Skills: 7+ 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 1+ years of experience in SAS 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 Retail/Commercial portfolio Ability to identify and manage complex issues and negotiate solutions within a geographically dispersed organization Ability to research and report on a variety of issues using problem solving skills Ability to interact with integrity and a high level of professionalism with all levels of team members and management Ability to make timely and independent judgment decisions while working in a fast-paced and results-driven environment. Job Expectations: Development of regulatory Credit risk (including CCAR, CECL and IFRS), RRP Valuation, and PPNR models for Commercial portfolio in SAS/Python. Lead complex model development projects independently and support multiple priorities Work closely with team 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 Posting End Date: 22 Sep 2025 *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. Wells Fargo & Company (NYSE: WFC) is a leading financial services company that has approximately $1.9 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. 34 on Fortune’s 2024 rankings of America’s largest corporations. In the communities we serve, the company focuses its social impact on building a sustainable, inclusive future for all by supporting housing affordability, small business growth, financial health, and a low-carbon economy. News, insights, and perspectives from Wells Fargo are also available at Wells Fargo Stories. Additional information may be found at www.wellsfargo.com LinkedIn: https://www.linkedin.com/company/wellsfargo For questions on how to search and apply, visit our frequently asked questions.

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Responsibilities

Lead complex initiatives in quantitative analytics, including the creation and validation of statistical models. Collaborate with regulators and auditors while providing analytical support for business initiatives.