Senior Risk Analytics Consultant ( Gen Ai)

Overview

Senior Risk Analytics Consultant leading and participating in moderately complex risk analytics, reporting, and credit strategy initiatives, including Gen AI related work.

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.
• 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 team to meet Risk Analytics deliverables.
• Collaborate and consult with peers, experienced managers, compliance, and technology to resolve modeling, forecasting, and production issues.
• Lead projects, teams, and mentor less experienced staff.
• Partner with cross enterprise risk analysts in development of common modeling strategies.
• Perform credit risk analytics and portfolio performance monitoring, delivering actionable insights to support strategic decision-making and risk optimization.
• Execute end-to-end credit strategy lifecycle, including strategy requirement analysis, rule set creation, and policy design aligned with business objectives and risk appetite.
• Execute and oversee strategy implementation testing and validation, including back-testing, champion–challenger analysis, and ongoing performance monitoring.
• Perform deep-dive analytics and root cause investigations to identify emerging risk trends and recommend data-driven improvements.
• Collaborate cross-functionally with business, risk, compliance, and technology teams, and work upon process improvements through automation and standardization.
• Develop and deliver monthly, quarterly, and annual risk reporting for senior leadership.
• Build and enhance analytical models and programming solutions (e.g., SAS/SQL/Python) to extract, transform, and analyze large datasets.
• Identify and implement process improvements through automation, standardization, and optimization of analytical workflows.

What you'll need

• 4+ years of Risk Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education.

Nice to have

• Strong expertise in credit risk analytics, banking regulations, and portfolio risk management, with hands-on experience in loss forecasting and performance monitoring.
• Advanced proficiency in SAS (including macros), SQL/Teradata, and data environments (Unix), with the ability to build scalable analytics, automate reporting, and support data-driven decision frameworks.
• Proven experience in credit strategy development and lifecycle management, including strategy requirement analysis, rule set creation, and execution testing/validation (e.g., back-testing, champion–challenger frameworks).
• Demonstrated strength in data deep dives and analytical problem-solving, including trend analysis, root-cause identification, and hypothesis-driven decision support.
• Strong stakeholder management, project execution, and communication skills, with the ability to influence cross-functional teams and clearly translate complex analytical insights into business actions.

Details

• Location: Bengaluru, India.
• Posting end date: 5 Nov 2026.