Oliver Wyman - Associate Director (Data Science) - Gurugram

Oliver Wyman; Gurugram District; Hybrid; INR 3,000,000 - 6,000,000; Full time

Job summary

Oliver Wyman Data and Analytics practice in India seeks a Senior Quantitative Modeling and Risk Analytics professional with strong technical leadership, analytical judgment, and stakeholder communication skills. The role leads model development and validation workstreams across credit risk, provisioning, stress testing, and related banking use cases.

You will collaborate with partners and senior client stakeholders to shape quantitative solutions, translate complex model results into business

Qualifications

• 9 to 12 years of experience in model development/validation in credit risk quantitative modelling (IRB, CECL, IFRS9, predictive modelling, forecasting) in consulting or banking roles.
• Strong awareness of Model risk Management framework (1LoD, 2LoD and 3LoD) and Basel III/IV, CCAR, CRD-IV, SR 11-7, CP6-22/SS1-23, E23 related regulations.
• Proven experience leading Model Risk Management or financial-modeling workstreams, including design, data, implementation, and stakeholder engagement.
• Bachelor’s or master’s degree in a quantitative field; advanced degree preferred.

Responsibilities

• Lead end-to-end model development or independent validation and advanced analytics workstreams across credit risk, provisioning, stress testing, and related banking use cases.
• Define analytical scope, solution architecture, methodologies, workplans, timelines, and quality standards for complex modeling engagements.
• Translate business and risk questions into scalable quantitative solutions and actionable insights.
• Mentor junior team members and ensure high-quality documentation and timely delivery.
• Advise clients and internal stakeholders on model strategy, implementation choices, and performance monitoring.
• Collaborate with partners to shape proposals, client conversations, analytics assets, and thought leadership.
• Stay aware of evolving quantitative modeling and data science practices and translate them into client-ready approaches.

Skills

Leadership presence

Analytical judgment

Stakeholder communication

Project management

Coaching mindset

Education

Statistics, Mathematics, Economics, Finance, Eng, CS, Data Science

Tools

Python

SQL

SAS

R

Spark

Cloud platforms

Job 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, visitoliverwyman.com, or follow us onLinkedInandX.

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 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.

Key Responsibilities

• 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 discipline; advanced degree preferred.
• Strong technical knowledge of statistical modeling and financial‑services applications, including credit risk, forecasting, provisioning, stress testing, capital, and portfolio analytics.
• Hands‑on proficiency with Python and SQL, with the ability to review and guide technical implementation; experience with SAS, R, Spark, cloud platforms, or large‑scale data environments is an advantage.
• Deep ability to select and evaluate modeling approaches, statistical assumptions, performance metrics, limitations, overlays, expert judgment, and business‑use alignment.
• Strong project management skills, including ability to manage multiple workstreams, deadlines, and stakeholders.
• Excellent verbal and written communication skills, with the ability to translate complex models and analytical findings into practical business and risk implications.

What We Look For

• Strong analytical judgment and comfort challenging model assumptions.
• Leadership presence with the ability to build trust with clients and internal teams.
• Practical, impact‑focused problem solving.
• Strong coaching mindset and commitment to developing India‑based analytics talent.
• Ability to balance technical depth with commercial and client context.
• Comfort working with global teams across time zones and traveling when required.

Oliver Wyman is a business of Marsh (NYSE: MRSH), a global leader in risk, reinsurance and capital, people and investments, and management consulting, advising clients in 130 countries. With annual revenue of over $27 billion and more than 95,000 colleagues, Marsh helps build the confidence to thrive through the power of perspective. For more information, visitoliverwyman.com, or follow us onLinkedInandX.

Marsh is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law.

Marsh is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person.