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Senior Risk Analytics Consultant

India, Bengaluru · Job Posted April 24, 2026
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Job Description

Wells Fargo is seeking a Senior Risk Analytics Consultant.

Job Responsibility

  • Lead or participate in moderately complex initiatives, and delivering insight and decision strategies within analytics and reporting, and contribute to large-scale planning related to Risk Analytics
  • Review and analyze moderately complex data aggregation, forecasting, reporting, and programming models
  • Be responsible for process production, data reconciliation, and model documentation in alignment with policy governance
  • Resolve data, production, business modeling, and lead team to meet Risk Analytics deliverables while leveraging solid understanding of risk reporting policies, modeling strategies, procedures, regulatory requests, and compliance requirements
  • Collaborate and consult with peers, experienced managers, compliance, and technology to resolve modeling, forecasting, and production issues, and achieve analytic and reporting goals
  • Lead projects, teams, and mentor less experienced staff
  • Partner with cross enterprise risk analysts in development of common modeling strategies
  • The incumbent would functionally contribute to the Auto Lending Credit Risk team and execute relatively large and complex projects
  • Leads significant initiatives and processes, and partners with line of business management to drive the company credit culture, appetite, and business performance with inputs from senior leadership
  • Directs and coordinates the various activities related to assessing and predicting risk and performance through business analysis and/or modeling
  • Establishes effective policies, processes, and tools to identify and manage risks
  • Uses predictive sciences for developing future ready solutions
  • Develops comprehensive monitoring frameworks and dashboards and provide statistically sound diagnostic evaluation of any emerging or unexpected risk areas to enhance intelligence and facilitate faster decision making
  • Reports on asset quality (delinquency, loss rate), portfolio trends, credit policy exceptions across various credit, vintage, product, offer, channel, industry segments using visualization tools such as Excel VBA, Tableau and/or SAS Visual Analytics
  • Develops quantitative/qualitative tools and methodologies for forecasting losses in supporting portfolio planning, loan loss provisioning, or new account acquisitions
  • Develop, maintain, and enhance the complex programming to extract data and/or manipulate databases such as Oracle, Teradata to support LOB strategy
  • Perform complex data analysis to support data quality, data integrity control
  • Evaluate new data sources and attributes, internal and external from extensive case reviews
  • Analyze big data and understand / monitor trends to provide actionable insights across a range of risk analytics initiatives
  • Produce production of monthly, quarterly, and annual performance reports for senior management
  • review and analyze trends in current population distributions
  • Provide research and process support for data lineage development and maintenance from Analytic data warehouse to its provisioning points
  • Provide access management related research support

Requirements

  • 4+ years of Risk Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
  • Bachelor's degree or higher in a quantitative fields such as applied mathematics, statistics, engineering, finance, economics, econometrics or computer sciences
  • 4+ years of progressive experience in credit and risk analytic roles
  • Hands on Experience in at least one area in credit risk analytics - credit strategy / modeling techniques / Forecasting techniques / data architecture & management
  • Good understanding of risk domain
  • Strong Risk analytics skills and understanding of P&L and risk drivers
  • Expertise in few programming and statistical packages - SAS, SQL, Excel, VBA, Macros, R, Python, E-miner, Tableau, SAS VA
  • Knowledge of advanced statistical tools such as Segmentation Tools, Decision Trees, Clustering, Regression, and other statistical modeling and/or Machine Learning techniques
  • Ability to identify and evaluate trends, isolate root cause, and provide swift/thorough resolution
  • Strong analytical skills with ability to turn findings into executable plans to meet business objectives
  • Proficiency in Advanced SAS,SAS macros and SQL
  • Tableau or BI/automation tools
  • Strong project management skills with ability to prioritize work, meet deadlines, achieve goals, and work under pressure in a dynamic and complex environment
  • Strong ability to develop partnerships and collaborate with other business and functional area

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