Oliver Wyman - Associate Director (Data Science) - Gurugram

Oliver Wyman’s India Data and Analytics team seeks an Associate Director to lead quantitative modeling and risk analytics engagements for banking and financial-services clients. The role combines technical leadership, client engagement and team coaching, with a focus on credit risk, loss forecasting, provisioning, stress testing, capital and portfolio analytics.

Responsibilities

• Lead end-to-end model development or independent validation and advanced-analytics workstreams, including PD, LGD, EAD and IFRS 9/ECL use cases.
• Define analytical scope, solution architecture, methodologies, workplans, timelines and quality standards. Turn business and risk questions into quantitative solutions and decision-oriented insights.
• Advise clients and internal stakeholders on model strategy, implementation, performance monitoring and integration into business and risk processes. Manage and mentor junior team members, ensuring analytical quality, documentation and timely delivery.
• Work with consultants and partners on proposals, client discussions, analytics assets and thought leadership; keep approaches current with modeling, regulatory and financial-services practices.

Requirements

• 9 to 12 years of model development or validation experience in credit risk quantitative modeling, including IRB, CECL, IFRS 9, predictive modeling or forecasting models, in consulting or banking.
• Experience leading Model Risk Management or financial-modeling workstreams. Knowledge of the three lines of defense and credit risk regulations, including Basel III/IV, CCAR, CRD-IV, SR 11-7, CP6-22/SS1-23 and E23.
• Strong statistical modeling judgment, including assessment of assumptions, performance metrics, limitations, overlays and business use. Hands-on Python and SQL proficiency; project management, stakeholder communication and team leadership skills.
• A bachelor’s or master’s degree in a quantitative discipline such as Statistics, Mathematics, Economics, Finance, Engineering, Computer Science or Data Science. An advanced degree is preferred. Experience with SAS, R, Spark, cloud platforms or large-scale data environments is advantageous.

The role is based in Gurugram. Marsh’s hybrid arrangement expects colleagues to work in their local office or onsite with clients at least three days per week; office-based teams have at least one weekly team anchor day. Working across time zones and travel may be required.