Senior Risk Analytics Consultant

Overview

Senior Risk Analytics Consultant at Wells Fargo who leads or participates in moderately complex risk analytics initiatives, delivering insight, decision strategies, and reporting.

What you'll do

• Lead or participate in moderately complex initiatives, 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, and business modeling issues, and lead the team to meet Risk Analytics deliverables while leveraging an 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.
• Perform exploratory data analysis, segmentation, trend analysis, root-cause investigations, and anomaly detection to identify fraud risks and business opportunities.
• Develop risk-monitoring frameworks, metrics, dashboards, and reporting to support business and risk decision-making.
• Translate complex business problems into analytical solutions and effectively communicate insights to business, risk, and technology stakeholders.

What you'll need

• 4+ years of Risk Analytics experience, or equivalent demonstrated through one or a combination of work experience, training, military experience, education.
• Degree or background in Fraud Analytics, Risk Analytics, Financial Crimes, Payments Risk, Deposit Risk, or a related quantitative field.
• Strong proficiency in SQL and SAS and/or Python for analysis of large, complex customer, account, transaction, and payment datasets.
• Experience supporting fraud risk management, transaction monitoring, strategy development, portfolio monitoring, or operational risk initiatives.

Nice to have

• Experience in Deposit and Payments Fraud, including account takeover, check fraud, first-party fraud, mule activity, synthetic identity fraud, and payment abuse.
• Knowledge of payment products and channels such as ACH, Wires, RTP, Zelle, Debit Card, Check, and Digital Payments.
• Experience with Power BI, Tableau, or similar visualization tools for executive reporting and risk monitoring.
• Experience applying statistical modeling, machine learning, behavioral analytics, or network analytics techniques for fraud detection.
• Experience working with enterprise-scale data platforms such as Teradata, GCP, Hadoop, or cloud-based analytics environments.
• Knowledge of fraud governance, model governance, regulatory requirements, controls, and AI-enabled analytics solutions.

Details

• Location: Bengaluru, India.
• Posting end date: 27 Oct 2026.