Overview
Support risk analytics, automation, reporting and process improvement initiatives for Model Risk Management and broader Enterprise Risk Management, within the Model Computing and Governance Platform team.
What you'll do
- Support moderately complex risk analytics, automation, reporting, and process improvement initiatives supporting Model Risk Management and broader Enterprise Risk Management processes.
- Design, develop, and maintain automation solutions using Python, SQL, UI automation, and Airflow to streamline manual processes, improve efficiency, and strengthen process controls.
- Leverage AI capabilities to support coding, solution development, analysis, documentation, and business process automation, while adhering to applicable governance and risk requirements.
- Analyze business and operational processes to identify opportunities for automation, simplification, and improved controls.
- Develop automated workflows for data extraction, transformation, reconciliation, validation, and reporting.
- Support the development and enhancement of management reporting, dashboards, and analytics, with exposure to Power BI or similar reporting tools.
- Perform data analysis and reconciliation to identify trends, exceptions, data quality issues, and opportunities for process improvement.
- Partner with Model Risk Management, Enterprise Risk Management, technology, and business teams to translate business requirements into scalable automation and analytics solutions.
- Support testing, implementation, documentation, and ongoing maintenance of automation and analytical solutions.
- Develop clear technical and process documentation to support effective governance, controls, knowledge transfer, and operational sustainability.
- Collaborate with peers and experienced managers to address risk, analytics, reporting, and operational challenges and deliver high-quality solutions.
What you'll need
- 4+ years of Risk Analytics experience, or equivalent demonstrated through one or a combination of work experience, training, military experience, or education.
- Strong hands-on experience with Python and SQL, including development of automation, data processing, reconciliation, and analytical solutions.
- Experience developing or supporting UI automation solutions to automate business processes and repetitive activities.
- Experience with Airflow or similar workflow orchestration capabilities for scheduling, managing, and monitoring automated processes.
- Demonstrated ability to leverage AI capabilities for coding and business processes, including improving development productivity, analytics, documentation, and process automation.
- Strong analytical, problem-solving, documentation, and communication skills.
- Ability to work effectively across business, risk, and technology stakeholders and manage multiple priorities.
Nice to have
- Experience with Power BI, dashboards, reporting, or ETL/data transformation processes.
- Experience developing management information, operational reporting, or risk analytics solutions.
- Knowledge of Model Risk Management, including model governance, validation, model lifecycle, or related processes.
- Knowledge of Enterprise Risk Management concepts, frameworks, and risk governance processes.
- Experience identifying and implementing automation opportunities within risk or governance processes.
- Experience developing or implementing AI / Generative AI (GenAI)-based solutions, including applying AI capabilities to automate business processes, enhance analytics, improve productivity, or support decision-making.
- Experience translating business requirements into practical analytics, automation, and reporting solutions.
- Ability to work independently, demonstrate ownership, and drive moderately complex initiatives through implementation.
Details
- Location: Bengaluru, India.
- Hybrid work schedule.
- Willingness to work onsite at the location stated in the job posting.
- Posting end date: 14 Nov 2026.
Read the full description and apply on the company’s own careers page.