Credit Risk Analytics Assc Mgr
- Wells Fargo
- 10 - 14 years
- Bengaluru
- 5 years ago
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Job Description
About the Role:
Primary role of the Credit Risk Analytics Associate Manager is to lead and manage a team of credit risk analysts. This team is expected to apply business knowledge and predictive analytics to serve as subject matter experts, analysts, advisors and consultants to the corporate and/or line of business (LoB) management with respect to regulatory modeling, modeling data analytics, model performance analysis, implementation and production. Responsibilities:
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Lead and act as a subject matter expert on set of models for a portfolio / line of business explaining model performance and business trends. Provide insights and analysis supporting model performance.
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Lead model monitoring, implementation and production of regulatory models such as CCAR stress testing models, Current Expected Credit Loss (CECL) / IFRS9 models, Basel models, Valuation, Resolution and Recovery Planning (RRP), etc.
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Manage multiple stakeholder relationships and project engagements across credit risk organization.
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Design and produce comprehensive model performance monitoring analysis and benchmarks regarding loss grade migration, revenue forecast, delinquency and overall model performance.
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Lead the team to monitor performance of credit scoring models. Present model reviews across credit committees. Deliver annual model reviews & revalidation and support quarterly model monitoring and monthly data risk reviews
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Lead teams and build analytical capabilities, manage modeling, forecasting, reporting and data distribution tools and processes requiring significant technical complexity in the analytics.
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Lead the design and development / enhancement of dynamic dashboards; analyze key risk parameters to help understand changes in business, product groups, vintages, concentration limits, risk ratings etc.
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Identify opportunities for strategic and infrastructure projects. Design and deliver process improvements, standardization, rationalization and automations. Enhance and standardize performance analysis, reporting packages and business loss forecast processes
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Lead the team to support credit risk data migrations, system transitions, data-mapping, data lineage, data reconciliation and documentation in alignment to policy and governance
Essential Qualifications:
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Over all experience around 10-14 years in similar role
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Bachelor s degree or higher in a quantitative fields such as applied mathematics, statistics, engineering, finance, economics, econometrics or computer sciences
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10+ years of experience in credit risk analytics
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10+ years of advanced programming expertise in SAS or Python
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Strong technical skills and problem solving skills
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Strong project management skills with ability to prioritize work, meet deadlines, achieve goals, and work under pressure in a dynamic and complex environment
Job Classification
Industry: BankingFunctional Area: Financial Services, Banking, Investments, Insurance, Role Category: Corporate BankingRole: Corporate BankingEmployement Type: Full timeEducation
Under Graduation: Any GraduatePost Graduation: Post Graduation Not RequiredDoctorate: Doctorate Not Required, Any DoctorateContact Details:
Company: Wells FargoLocation(s): Bengaluru
Keyskills: Automation SAS Risk analytics Analytical Reconciliation Market risk data mapping Corporate credit Econometrics Forecasting
Wells Fargo
Wells Fargo & Company (NYSE: WFC) is a diversified, community- based financial services company with $1. 9 trillion in assets. Founded in 1852 and headquartered in San Francisco, Wells Fargo provides banking, insurance, investments, mortgage, and consumer and commercial finance through more ...
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