Wells Fargo
Bengaluru, Karnataka, India Posted 5d ago
Wells Fargo is seeking a Lead Quantitative Analytics Specialist for Credit Risk modelling for Retail and commercial portfolio to lead complex statistical initiatives.
Key Responsibilities
Lead complex initiatives including creation, implementation, documentation, validation, articulation, and defence of highly statistical theory.
Use highly complex statistical theory to quantify, analyze, and manage markets.
Forecast losses and compute capital requirements providing insights regarding business initiatives.
Utilize stochastic, structured securities, and spread analysis with expertise in the theory and mathematics behind the analysis.
Review and assess models inclusive of technical, audit, and market perspectives.
Manage market, credit, and operational risks to forecast losses and compute capital requirements.
Development of regulatory Credit risk including CCAR, CECL and IFRS, RRP Valuation, and PPNR models for Commercial portfolio in SAS and Python.
Underlying portfolio data research and analytics using strong programming skills.
Requirements
5+ years of Quantitative Analytics experience, or equivalent demonstrated through work experience, training, or education.
Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science.
Experience in development of regulatory model including CCAR, CECL and IFRS, RRP Valuation, and PPNR models for Commercial portfolio.
2+ years of hands-on experience in Python and SQL.
2+ years of experience in PySpark, GCP, and parallel processing.
