Operational Risk Data Analyst

Job Summary

Operational Risk Data Analyst

Are you passionate about leveraging data analytics to drive smarter risk management? If you thrive at the intersection of technology and business, and love turning complex data into meaningful insights, this could be the role for you. Join a forward-thinking global organization where your analytical expertise will directly shape how we identify, assess, and mitigate operational risks. Based in Bangalore, this is your opportunity to make a real impact using cutting-edge technology and innovative thinking.

Key Responsibilities

• Design and develop impactful dashboards and data visualizations that transform complex risk data into clear, actionable insights
• Implement and optimize workflows within the Palantir Foundry application suite to streamline operational risk processes
• Translate business requirements into end-to-end technical solutions using existing Operational Risk Management (ORM) applications
• Leverage SQL, Python, and data visualization tools to create efficient and scalable reporting mechanisms
• Collaborate with cross-functional teams to understand diverse needs and deliver tailored, high-quality solutions
• Automate routine processes using robotic process automation to drive efficiency and reduce manual effort
• Maintain and enhance existing applications and solutions to ensure continued effectiveness and relevance
• Analyze operational risk data to identify trends, patterns, and opportunities for improvement across the organization

About the Team

You'll be joining the Operational Risk Management Governance team within Group Functions Risk Management (GFRM) - a collaborative, innovative, and purpose-driven team dedicated to excellence in risk management. The team is focused on advancing operational risk activities in line with a clearly defined vision, applying technology and analytics expertise to enhance both the effectiveness and efficiency of operational risk management across the organization. Together, the team develops forward-looking solutions that strengthen the risk management framework and drive meaningful change at a global scale. If you enjoy working in an environment that values curiosity, collaboration, and continuous improvement, you'll feel right at home here.

About You

You're a tech-savvy problem solver who thrives on turning complex business challenges into elegant technical solutions. You have a natural curiosity about data and a talent for uncovering patterns and insights that others might miss. Your strong communication skills allow you to bridge the gap between technical concepts and business needs, making you a trusted and effective collaborator across departments and cultures. You bring both attention to detail and big-picture thinking-and you're energized by working in a fast-paced, global environment.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field
• 5+ years of relevant work experience in data analytics, risk management, or a related discipline
• Demonstrated hands-on experience designing and delivering dashboards and/or developing workflows within the Palantir Foundry application suite (including CodeWorkbook, Code Repositories, Workshop, and Ontology Manager)
• Proficiency in SQL and at least one programming language (e.g., Python)
• Experience with reporting and data visualization tools (e.g., Tableau)
• Excellent communication skills with the ability to explain technical concepts clearly to non-technical stakeholders

Nice to Have

• Experience with robotic process automation (RPA)
• Understanding of enterprise risk management concepts and frameworks
• Experience working in the financial services or insurance industry
• Knowledge of data governance and data quality principles
• Ability to prioritize multiple topics simultaneously and switch fluidly between detailed analytics and big-picture thinking
• Experience working in multicultural, global environments

Our company has a hybrid work model and the expectation is that you will be in the office at least three days per week.

Experience Level

Mid Level

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.