Wells Fargo Lead Quantitative Analytics Specialist - 

India, Karnataka, Bengaluru 

812383812

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:

• Risk Modeling Group (RMG) Forecasting:The team is responsible for development and delivery of models leveraged for Credit Risk, Compliance Risk, and Operational Risk. These include models for credit and pre-provision net revenue (PPNR) forecasting, and fair lending.

• Deposit & PPNR:This team within RMG (Risk Modeling Group) Forecasting is responsible for driving entire model life cycle (model development, monitoring & forecasting) of Wells Fargo deposit balance and yield. Deposit & PPNR team support Pre-Provision Net Revenue (PPNR) estimates including forecasting deposit balance & rate models to support ALM, FP&A, CCAR and Recovery and Resolution Planning. Team is responsible for the design, development, delivery, monitoring and forecasting of econometric forecasting models for Deposit (Interest Expense), Fees (Non-II) & Expense (Non-IE) components to support business planning and economically sensitive CCAR submission.

• 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 modelanalytics/forecastingchallenges in python with quick turn arounds

• Master's degree or higher in a quantitative field such as Statistics/Economics

• 5+ 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

• 5+ 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

• 5+ 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

• 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

Wells Fargo Recruitment and Hiring Requirements:

b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.