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Wells Fargo

Senior Quantitative Analytics Specialist

Posted 49 Minutes Ago
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Hybrid
Bengaluru, Bengaluru Urban, Karnataka
Senior level
Hybrid
Bengaluru, Bengaluru Urban, Karnataka
Senior level
Develop, implement, validate, monitor, and document complex deposit, balance sheet, treasury, capital, and regulatory risk models. Perform econometric and statistical analysis of time-series and panel data, forecast losses, calculate capital requirements, and assess interest-rate risk. Collaborate with Finance, Treasury, Model Risk Management, auditors, regulators, and senior stakeholders on model reviews, governance, remediation, and signoffs. Use Python, R, or SAS to solve modeling challenges and improve reporting, controls, dashboards, and forecasting processes.
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About this role:
Wells Fargo is seeking a Senior Quantitative Analytics 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
  • Bachelor's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science
Job Expectation:
  • Enhance Deposit modeling framework effectively ensuring consistency in modeling methodologies, Annual/Semi-Annual validations and Audit- tracking thereby ensuring controlled model risk
  • Contribute to the bank's balance sheet and income statement modeling methodologies in support of asset & liability management (ALM), FP&A and capital planning by capturing interest rate risk in the banking book (IRRBB) by EVE
  • Responsible for steering stakeholder conversations of user review and model challenge sessions with Business, Finance, Treasury and Model Risk Management for signoffs on Champion & Challenger models
  • Conduct econometric and statistical analysis of time series and panel data sets
  • Knowledge on Python/R/SAS is must
  • Knowledge on model life cycle (development, monitoring, implementation and forecasting) and its intricacies are good to have
  • Should possess strong documentation capabilities which would effectively convey complex models and processes
  • Communicate design and results of complex models to a variety of audiences, including senior management, bank supervisors, Model Governance, Internal Audit and LOB end users
  • Coordinate with business partners, including forecasting teams, and end users to ensure accurate model usage and implementation
  • Adhere to model validation governance to ensure models are following policy and are working as intended, address model validation and regulatory feedback issues
  • Solving model development and model analytics/forecasting challenges in python with quick turn arounds
Desired Qualifications:
  • Master's degree or higher in a quantitative field such as Statistics/Economics
  • 4+ years of experience in Deposit & PPNR, Treasury Analytics, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
  • 4+ years of experience in Deposit balance sheet modeling and treasury/liquidity analytics in support of asset & liability management (ALM), FP&A and capital planning by capturing interest rate risk in the banking book (IRRBB) by EVE
  • 4+ years of advanced programming expertise in SAS or Python or R
  • 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
Desired Qualifications:
  • Excellent verbal, written, and interpersonal communication skills
  • Perform various complex activities related to deposit balance sheet modeling
  • Provide analytical support for development, remediation, monitoring, and production of Deposit & PPNR models
  • Support development, implementation, execution and monitoring of Regulatory models such as Basel, CECL, and CCAR models
  • Develop dynamic dashboards; analyze key risk parameters to help understand changes in business and model performance
  • Identify opportunities and deliver process improvements, standardization, rationalization and automations
  • Enhance and standardize performance analysis, reporting packages and business loss forecast processes
  • Maintain documentation for development, implementation and monitoring of processes across the team with focus on standardization of controls
  • Ability to identify and manage complex issues and negotiate solutions within a geographically dispersed organization
Posting End Date:
23 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.

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