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Tier-1 bank, Bangalore location, mid-level analytics role attracts many qualified applicants.
Requires deep home-lending credit risk and regulatory expertise, limiting cross-industry transferability.
Requires 5+ years credit risk analytics, SAS/R/Python, BI tools and banking domain expertise, making filters stringent.
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Lead complex initiatives in business analysis, modeling, and risk analytics oversight for Home Lending Credit Risk portfolio.
Provide independent second-line oversight and monitoring of credit risk decisions involving origination, servicing, and portfolio monitoring activities.
Produce reports and recommendations for leadership, influence front line stakeholders, and lead projects and teams within the risk analytics framework.
5+ years of Risk Analytics experience, including credit risk analytics focused on Home Lending.
Bachelor’s degree or higher in quantitative fields such as applied mathematics, statistics, finance, economics, econometrics, engineering, or computer sciences.
Advanced programming skills in SAS, R, or Python and proficiency in Microsoft Office.
Must have experience or strong knowledge of credit risk decisioning, regulatory compliance, and risk management for banking portfolios relevant to Home Lending.
Experienced in managing complex credit risk analytics projects with scope including model oversight and regulatory risk frameworks within Home Lending.
Strong technical proficiency in programming and data manipulation paired with the ability to provide independent, critical credit risk analysis and recommendations.
Able to engage with front line teams effectively to challenge and influence risk decisions while maintaining an independent risk viewpoint and understanding of enterprise and regulatory risk policies.