Lead Risk Analytics Consultant
Wells Fargo · Bengaluru · onsite · Posted 57d ago
Undisclosed5–10 yrsfulltimeSourced from
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About this role
Job Summary
About this role: Wells Fargo is seeking a Lead Risk Analytics Consultant.
Responsibilities - 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
- 5+ years of Risk Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
- 5+ years in Python and SQL
- Lead Design Development: Drive the design, development, and enhancement of internal tools and reporting solutions within the MCC Capital domain, enabling scalable, efficient, and sustainable data frameworks.
- Strengthen Data Quality Integrity: Champion data quality and data integrity initiatives across the MARS/CORS and Nexus platforms, ensuring data accuracy, completeness, consistency, and governance standards are maintained.
- Execute Advanced Technical Solutions: Utilize advanced SQL and Python expertise to develop, optimize, and maintain complex data pipelines, analytical models, and reporting solutions that support business and regulatory requirements.
- Enable Platform Integration Reliability: Facilitate robust data flows, reconciliations, and controls across MARS/CORS and Nexus platforms, improving transparency, reliability, and operational efficiency of risk data.
- Drive AI-led Innovation Automation: Leverage AI and automation technologies to solve business challenges, streamline processes, enhance decision-making, and improve overall operational effectiveness.
- Deliver Stakeholder Value: Partner with the MCRCM Data team and key stakeholders to provide high-quality insights, scalable solutions, and process improvements that support strategic objectives and evolving regulatory expectations.
Sourced from naukri
Skills
data qualityAutomationadvanced sqlrisk analyticsFinancial CrimesBusiness AnalysisAnalyticsFinancial ModelingPythonRegulatory CompliancePortfolio AnalysiscomplianceCustomer RelationshipsData ModelingData PipelineArtificial Intelligence
About Wells Fargo
Wells Fargo
Financial Services
20k+
employees
1852
174 years old
Bengaluru/Bangalore, Karnataka
India
About
Wells Fargo works to create positive social impact in the communities it serves by supporting housing affordability, small business growth, financial health, and a low-carbon economy.
Industries
Financial Services
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