Oliver Wyman - Associate Director (Data Science) - Gurugram

Company: Oliver Wyman Description: 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.

Summary We are looking for a senior Quantitative Modeling and Risk Analytics professional with strong technical leadership, analytical judgment, and stakeholder communication skills. The role will lead model development and advanced-analytics workstreams 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 senior client stakeholders to shape quantitative solutions, guide teams from problem definition through implementation, and translate complex model results into practical business and risk decisions. This role combines hands-on technical depth with workstream leadership, coaching, and client engagement.

Lead end to end model development or independent validation and advanced analytics workstreams across credit risk (PD, LGD, EAD, IFRS 9/ECL), provisioning, stress testing, capital, portfolio analytics, forecasting, and related banking use cases. Define analytical scope, solution architecture, methodologies, workplans, timelines, and quality standards for complex modeling engagements. Translate strategic business and risk questions into scalable quantitative solutions and clear decision-oriented insights. Manage and mentor junior team members, ensuring strong analytical quality, clear documentation, and timely delivery. Advise clients and internal stakeholders on model strategy, analytical frameworks, implementation choices, performance monitoring, and the integration of models into business and risk processes. Partner with Oliver Wyman consultants and partners to shape proposals, client conversations, analytics assets, and thought leadership. Maintain awareness of evolving quantitative modeling, data science, regulatory, and financial-services practices, and translate them into client-ready approaches. Required Experience and Qualifications 9 to 12 years of experience in model development/validation experience in credit risk quantitative modelling (IRB, CECL, IFRS9, predictive modelling, forecasting models) in consulting or banking roles. Strong awareness of Model risk Management framework (1LoD, 2LoD and 3LoD in model building activities) and well versed with credit risk related regulation (Basel III/IV, CCAR, CRD-IV, SR 11-7, CP6-22/SS1-23, E23 etc). Proven experience leading Model Risk Management or financial-modeling workstreams, including solution design, methodology, data, implementation, performance assessment, documentation, and stakeholder engagement. Bachelor’s or master’s degree in Statistics, Mathematics, Economics, Finance, Engineering, Computer Science, Data Science, or another quantitative