Lead Quantitative Analytics Specialist - (ALM Modeling , Balance sheet modeling, IRRBB,EVE,FTP, Deposit models, Liquidity Risk models)

110741-IND-BENGALURU-INTL BLR BLK 2A ASTER, India

Wells Fargo

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About this role:

Wells Fargo is seeking a Lead Quantitative Analytics Specialist.

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.


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 model analytics/forecasting challenges 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


 

Posting End Date: 

7 Apr 2025

*Job posting may come down early due to volume of applicants.

We Value Diversity

At Wells Fargo, we believe in diversity, equity and inclusion in the workplace; accordingly, we welcome applications for employment from all qualified candidates, regardless of race, color, gender, national origin, religion, age, sexual orientation, gender identity, gender expression, genetic information, individuals with disabilities, pregnancy, marital status, status as a protected veteran or any other status protected by applicable law.

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 US: 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.

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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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Banking Computer Science Credit risk Data analysis Economics Engineering Finance Mathematics ML models Physics Python R SAS Statistics

Perks/benefits: Team events

Region: Asia/Pacific
Country: India

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