Senior Quantitative Analytics Specialist ( Gen AI)
Wells FargoMatch Score
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Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 bank, metro location, mid-level role with niche quant validation skills limiting broad applicant pool.
High because credit risk modeling and regulatory validation skills are industry-specific and not easily transferable.
High due to explicit years, master’s requirement, regulatory model validation expertise, and mandatory Python/PySpark skills.
Job Description
Structured overview of role & requirementsAbout This Role
Lead complex quantitative analytics activities including creation, implementation, and documentation of statistical models related to market, credit, and operational risks.
Perform model validations and assessments focused on Commercial Credit and Corporate Economic group models ensuring regulatory compliance and governance standards are met.
Collaborate with regulators, auditors, and internal stakeholders to communicate model risk findings and support global risk assessments.
Minimum Requirements
Minimum 4+ years of quantitative analytics experience; Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science.
Experience in credit risk model validation/development including PD, LGD, EAD, stress testing, and regulatory frameworks such as SR26-2, CCAR CECL/IFRS9.
Proficiency in Python, Pyspark, and related libraries for coding and data analysis.
Location: Bengaluru or Hyderabad; strong documentation and communication skills for technical reporting required.
Ideal Candidate Profile
Deep domain expertise in Commercial Credit risk including Balance Forecasting, Loss Forecasting, PPNR, and Econometric models with business understanding of Wholesale/Commercial portfolios.
Strong analytical skills to apply advanced statistical techniques (Time Series Forecasting, Regression, Machine Learning) and experience validating models against regulatory guidelines.
Experienced in producing comprehensive validation reports and managing complex model risk assessments in a fast-paced, compliance-driven environment.