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Lead Risk Analytics Consultant - AI Analytics

https://www.wellsfargo.com/ Logo

Wells Fargo

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Location:
India , Bengaluru

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Contract Type:
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Salary:

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Job Description:

Wells Fargo is seeking a Lead Risk Analytics Consultant

Job Responsibility:

  • Lead complex initiatives related to business analysis and modeling, including those that are cross functional, with broad impact, and act as key participant in data aggregation, monitoring, and reporting of stress testing and portfolio analysis for Risk Analytics
  • Review and analyze complex programing models to extract data and manipulate databases to provide statistical and financial modeling specific to businesses supported
  • Manage the roll out of pilot programs developed as a result of programmed models for supported businesses and product line
  • Make decisions in complex product strategies, data modeling, and risk exposure, requiring solid understanding of business unit projects and regulatory responses, policies, procedures, and compliance requirements that influence and lead Analytic and Reporting to meet deliverables and drive new initiatives
  • Collaborate and consult with peers, less experienced to more experienced managers, to resolve production, project, and regulatory issues, and achieve risk analysts, and common modeling goals
  • Lead projects, teams, and mentor
  • Model Selection & Evaluation: Assess business use case requirements and recommend suitable Gen AI models and platforms
  • Architecture & Integration: Design AI solution architecture that is aligned to enterprise expectations and integrates with existing enterprise systems. Support decisions around APIs, data pipelines, orchestration layers, UI/UX, etc
  • Data Preparation & Governance: Collaborate with data teams to ensure high-quality, compliant datasets. Implement data governance and processing standards
  • Model Fine-Tuning & Optimization: Fine-tune base models for domain-specific tasks. Optimize for latency, accuracy, and resource utilization
  • Performance Monitoring & Feedback Loop: Define KPIs for AI solutions. Continuously monitor and improve models based on feedback
  • Business Enablement & Advisory: Act as AI consultants for business teams. Provide training and documentation for AI adoption
  • Lead and influence assessment of business use cases and GenAI model/platform selection through a model risk and enterprise governance lens
  • Provide final risk recommendations and approvals for AI model usage aligned with enterprise risk frameworks
  • Demonstrated ability to lead complex risk analytics initiatives and influence senior stakeholders
  • Strong understanding of risk analytics, model risk management, and enterprise control frameworks
  • Working knowledge of Generative AI concepts, architectures, and AI lifecycle risks
  • Experience partnering with technology and data teams in regulated environments
  • Strong analytical, communication, and stakeholder management skills
  • Deliver 100% quality and SLA compliance on executions
  • Drive discussions with stakeholders

Requirements:

  • 5+ years of Risk Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
  • 5 - 10+ years of experience in risk analytics, model risk, or technology risk, including leadership or lead‑level responsibilities
  • Bachelor's or Master's degree in Risk Management, Data Science, Analytics, Engineering, or related field
  • Experience leading cross‑functional risk initiatives involving AI, data, and technology teams
  • Experience in risk analytics, model risk, AML/credit/operational risk, or advanced analytics roles
  • Working knowledge of AI/ML and Generative AI concepts, including model lifecycle risks, bias, explainability, and performance monitoring
  • Advanced degree (MBA, MS, or equivalent) in Risk Management, Analytics, Data Science, Engineering, or a related quantitative field
  • Strong experience in risk analytics, model risk management, or technology risk within a regulated or enterprise environment
  • Experience collaborating with AI, data, and engineering teams to assess risks, define controls, and establish governance standards
  • Excellent stakeholder and communication skills, with the ability to translate technical AI risks into clear business insights
  • Ability to work in a dynamic environment and adjust to changing priorities
  • Ability to work at the approved locations in the job posting

Additional Information:

Job Posted:
February 19, 2026

Expiration:
February 19, 2026

Employment Type:
Fulltime
Work Type:
On-site work
Job Link Share:

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