Senior Quantitative Analytics Specialist

Corporate Risk in Wells Fargo:Corporate Risk helps Wells Fargo businesses identify and manage risk. The team focuses on three key risk areas: credit risk, operational risk and market risk. As the company''s second line of defense, Corporate Risk or Independent Risk Management provides independent oversight of risk-taking activities. Independent Risk Management establishes and maintains Wells Fargo''s risk management program and provides oversight, including challenges to and independent assessment of the frontline''s execution of its risk management responsibilities. Corporate Risk roles depend on a variety of skills, viz. data analysis and synthesis, root cause analysis, change management, process management & execution, risk governance, risk strategy, risk identification & assessment, risk prevention, controls & mitigation, risk monitoring, reporting & escalation, risk systems & technology.

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 & CSBB Modeling Team: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 Modeling 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.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

• 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

• 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
• 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

• 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 banks 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