About Oliver Wyman
At Oliver Wyman, a Marsh (NYSE: MRSH) business, we bring deep industry insight, bold innovation, and a collaborative approach that cuts through complexity to help organizations navigate their most defining transformative moments.

As a business of Marsh, we work alongside the world’s leading experts across risk, reinsurance and capital, people and investments, and management consulting. Together with Marsh Risk, Guy Carpenter, and Mercer, we help organizations build resilience and competitive advantages from every angle. With annual revenue over $24 billion and more than 90,000 colleagues in 130 countries, Marsh helps build the confidence to thrive through the power of perspective.
For more information, visit oliverwyman.com, or follow us on LinkedIn and X
About Data and Analytics (DNA) Practice
At Oliver Wyman Data and Analytics, we partner with clients to solve tough strategic business challenges with the power of analytics, technology, and industry expertise.



Our India DNA team brings high-quality analytics and quantitative talent into global consulting engagements, delivering practical, client-ready solutions across financial services and other priority sectors.
Role Summary
We are looking for a Quantitative Modeling and Risk Analytics professional with strong quantitative, analytical, and communication skills. The role will focus on developing, implementing, and enhancing analytical models across credit risk, loss forecasting, provisioning, stress testing, capital, and related banking and financial-services use cases.
You will work with Oliver Wyman partners and client stakeholders to translate business questions into robust quantitative solutions, from data preparation and methodology design through implementation, performance assessment, documentation, and business use. This is a hands-on role suited for someone who combines technical depth with explicit, practical communication.
Key Responsibilities
Build, enhance and independently validate m

📌 Oliver Wyman (Gurugram)
🏢 Oliver Wyman Group
📍 Gurugram