Jobs at Oliver Wyman

Work as a consulting intern on client teams performing research, data management, quantitative, strategic, and financial analyses. Participate in training, receive mentorship, network with leadership, and potentially work across Generalist, Banking, AI/Data, Technology Transformation, or Private Equity streams.

Lead regional execution of AI enablement: manage workflows, coaching, triage, experimentation, stakeholder coordination, and team development to drive adoption of firm AI products and scalable best practices.

Leads global growth and strategic initiatives across insurance, asset management, and actuarial businesses. Responsibilities include identifying and evaluating acquisition targets, coordinating due diligence, developing business cases, managing post-merger integration, and executing cross-functional strategic projects. The role partners with senior executives and corporate functions, tracks outcomes, resolves issues, and translates growth priorities into measurable results. It requires strong program management, analytical, communication, stakeholder management, and M&A capabilities.

Define Marsh DCX’s data and knowledge strategy, roadmap, governance, and operating model. Build reusable data and knowledge products from structured and unstructured enterprise information, embed analytics into workflows, and establish AI-ready standards for documents and knowledge assets. Partner with product, engineering, analytics, operations, governance, legal, and senior business leaders to shape search, retrieval, summarization, evaluation, and automation capabilities. Support ontology, semantic modeling, metadata, data quality, and AI enablement across complex regulated-industry environments.

Lead and manage client engagements in technology/software and private equity sectors, including commercial due diligence, strategy, and operational improvement. Drive business development, create thought leadership, mentor staff, and ensure on-time delivery. Serve as primary contact for senior clients and travel frequently for client work.

Lead complex strategy consulting engagements, structure business problems, oversee research and quantitative analysis, synthesize actionable recommendations, manage project workstreams, deliver client presentations, support implementation, collaborate with clients, and coach junior consultants across industries.

Lead complex energy and commodities strategy consulting engagements, advise senior client executives, manage client relationships and commercial processes, identify business opportunities, develop thought leadership, and mentor consultants. The role focuses on trading strategy, risk frameworks, operating models, and transformation across oil, gas/LNG, power, and related commodities. Candidates need deep industry expertise, quantitative knowledge of derivatives and risk measurement, strong analytical and communication skills, and executive presence.

Analyzes Medicaid pharmacy and financial data to identify efficiencies and support rate development. Presents models and findings, collaborates with project managers on scope, budgets, timelines, and deliverables, and communicates regularly with government clients. The role requires healthcare or pharmacy analysis experience, financial modeling or rate development expertise, advanced Excel skills, and strong communication. Medicaid, SAS, PBM, and drug compendia experience are preferred.

Leads energy commodity trading and risk consulting engagements, managing client relationships, complex programs, project delivery, and consulting teams. Advises senior executives on trading strategy, transformation, operating models, commercial optimization, and risk management. Responsibilities include developing hypotheses and insights, overseeing deliverables, supporting business development, creating thought leadership, coaching consultants, and contributing to firm-building activities.

Lead technical projects and design, build, and deploy production-quality AI/ML systems, pipelines, and LLM-based agent platforms. Explore data, develop AI solutions, advise partners on proposals, select appropriate modeling approaches, establish evaluation and observability frameworks, optimize system performance and cost, and guide proprietary AI/ML infrastructure development. Engage directly with clients across industries while promoting best practices, responsible AI governance, and robust engineering standards.

Support AI capability and adoption through structured prompt experimentation, custom GPT testing, workflow prototyping, documentation of exemplars, and coaching colleagues to scale responsible AI use across the firm.

Summer interns build quantitative and valuation models, apply econometric analysis, analyze industry and financial data, write code, prepare exhibits and presentations, participate in client meetings, and draft memos and expert reports. The program runs from early June through mid-August and requires at least 40 hours per week. Candidates must graduate by Summer 2028 and demonstrate strong analytical, communication, teamwork, and detail-oriented skills.

Conduct quantitative and econometric analyses of economic and financial data; build models, perform valuation analyses, research industry trends, prepare exhibits and presentations, write data-analysis code, participate in client meetings, and draft memos and expert reports.

Leads commercial effectiveness consulting engagements focused on pricing, go-to-market strategy, sales force effectiveness, marketing effectiveness, and revenue growth. Responsibilities include structuring complex problems, conducting quantitative and qualitative analyses, developing client recommendations, managing workstreams and teams, building client relationships, supporting business development, and contributing to thought leadership. Engagement Managers additionally lead projects, client relationships, commercial processes, and team development.

Lead life insurance product development and pricing engagements, grow client relationships, originate business, review financial projections, provide thought leadership, support M&A and reinsurance transactions, partner with strategy teams, and manage and develop project staff.

Lead and manage client engagements, coordinate cross-functional teams, deliver high-quality analyses, mentor junior consultants, support business development, and drive firm-building activities.

Lead development, validation, and productionization of P&C actuarial models and workflows. Translate actuarial requirements into reproducible, version-controlled code (Python/R/SQL), leverage cloud and AI tools, validate data pipelines, produce client-ready reporting and dashboards, and liaise between actuarial SMEs and engineering teams.

Lead and manage supply chain operations engagements: develop hypotheses, run analyses and modeling, synthesize insights into presentations, manage small teams (2–4), support partners on delivery, and help develop proposals and client relationships. Drive operational improvements across sourcing, planning, manufacturing, logistics, and IT-enabled supply chain solutions.

Lead and manage AI-focused consulting engagements: define hypotheses, oversee analytics and data collection, translate client needs into technical requirements, support ML/generative AI solution delivery from proof-of-concept to production, build executive relationships, and coach consultants to deliver measurable business impact.

Lead client engagements for telco and AI initiatives: manage project delivery, coach teams, drive commercial relationships, identify business development opportunities, and apply quantitative analysis (SQL/Python) and AI capabilities to deliver strategic recommendations.