Senior Quantitative Analytics Specialist
Wells Fargo (company site, opens in a new tab)4+ yrsBengaluruOn-siteDirect career pageEst. 18–30 LPA
Posted 12h ago
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Job description
Structured overview of role & requirements
About This Role
- Lead development, implementation, and documentation of complex quantitative models related to deposit balance sheet and risk forecasting.
- Manage interaction with stakeholders including regulators, auditors, and internal teams for model validation, challenges, and governance compliance.
- Enhance deposit modeling frameworks, support capital planning and ALM by capturing interest rate risk, and deliver analytics and reporting to drive business insights.
Minimum Requirements
- Bachelor's degree in mathematics, statistics, engineering, physics, economics, computer science or related quantitative discipline.
- 4+ years of quantitative analytics experience (work experience, training, military experience, education).
- Proficiency in Python, R, or SAS mandatory.
- Experience with deposit balance sheet modeling, asset & liability management, or treasury/liquidity analytics is expected but not explicitly stated as mandatory.
Ideal Candidate Profile
- Demonstrated ability managing complex quantitative models within financial risk frameworks, especially Deposit & PPNR and interest rate risk in banking book (IRRBB).
- Strong technical skills with advanced programming in Python/R/SAS and knowledge of model lifecycle including validation and regulatory compliance.
- Experience collaborating with multi-disciplinary teams and regulators to communicate complex model results and achieve governance objectives.