Jobs at Marsh McLennan

Support Singapore retail broking team as first point of contact for client communications and day-to-day account tasks. Conduct client and industry research, prepare benchmarking and risk materials, handle billing and account coordination, escalate issues appropriately, gather relationship insights, and begin building client relationships while maintaining knowledge of Marsh's offerings.

Lead service delivery and client strategy for complex employee benefits engagements. Manage renewals, plan design, regulatory compliance, insurer placements, and propose solutions to grow revenue. Build long-term client and vendor relationships, identify upsell/cross-sell opportunities, collaborate with regional teams, and mentor teammates. MAS qualification required.

Manage and grow a portfolio of large retail broking clients in Singapore, achieve sales targets, coach junior team members, identify expansion opportunities, develop tailored solutions, collaborate with internal stakeholders, and represent Marsh at industry events.

Support regional Practice Leaders by managing day-to-day practice operations, PMO tasks, commercial effectiveness, BD and RFP processes, reporting (MIS), and execution of strategic projects. Coordinate with Finance, KM, Talent Analytics and other support teams, run meetings and events, track actions and implement process improvements and best practices to drive practice growth and efficiency.

Intern will research emerging AI technologies (LLMs, generative AI, RPA/OCR, NLP, computer vision), partner with business and tech teams to design and build prototypes/MVPs, document technical approaches for scaling, and integrate AI solutions into Marsh Risk systems. Role is hybrid in Singapore for 3–6 months (part-time acceptable).

Lead the technical product lifecycle for assigned applications: roadmap, onboarding, integrations, releases, incident response, KPI tracking, vendor management, compliance, and documentation. Act as liaison between technology, operations, and business stakeholders across the region to translate needs into technical requirements and drive continuous improvement.

Manage end-to-end client accounts delivering broad-based and executive rewards projects (job evaluation, salary structure, STI/LTI, sales incentives). Lead decision-making, mitigate risks, guide analysts, ensure delivery standards, and support business development to meet revenue targets.

Lead growth of Marsh's valuation practice across Asia; manage and deliver complex plant, equipment and infrastructure valuations (insurance focus); provide technical leadership and QA; drive business development and proposals; oversee budgets and resourcing; mentor regional valuers; travel regionally and globally as required.

Lead placement operations for Singapore Retail and Asia Placement Hub, managing a Singapore team and KL CoE functional delivery. Drive operational excellence via governance, SLA performance routines, controls, continuous improvement, systems enablement, audit readiness, and cross‑functional stakeholder partnership to support placement timelines and business growth.

Lead delivery and commercial ownership of complex client accounts, advise on compensation and total rewards strategy, design salary structures and STI/LTI/executive compensation, ensure project governance and quality, mentor and develop team members, and drive business development and external representation.

Serve as a trusted advisor to shipowner clients across Asia, develop and execute marine insurance renewal and placement strategies, assess client exposures, build relationships, mentor junior colleagues, and support regional travel and client service.

Lead translation of strategic priorities into executable transformation initiatives across functions. Manage end-to-end program delivery, governance, change management, process redesign, stakeholder alignment, and benefits realization to achieve measurable business outcomes.

Lead and manage consulting engagements in finance, risk and restructuring. Drive analyses, develop executive recommendations, manage stakeholders and junior team members, and deliver analytical excellence using automation, advanced analytics and GenAI where appropriate. Support clients on finance transformation, enterprise risk, treasury, regulatory change, operational resilience and related transformation initiatives.

Design, build, deploy, and scale production AI and Generative AI solutions (LLMs, RAG, agentic workflows). Build data pipelines, cloud-based MLOps/LLMOps, and retrieval architectures. Collaborate with stakeholders, embed responsible AI and governance, and develop reusable frameworks, monitoring, and automation for enterprise deployments.

Join Oliver Wyman as an entry-level consultant working on client projects worldwide. Responsibilities include research, data analysis, developing presentations, supporting client management, and collaborating with senior colleagues. The role follows an apprenticeship model with formal training, mentoring, and opportunities to specialize across industries. Hybrid work expected with minimum office presence and progression based on performance.

Work as a full team member on 1-2 client projects, performing research, quantitative and qualitative analysis, and contributing to presentations. Receive on-the-job apprenticeship training, mentorship, formal training, and opportunities for client exposure and travel. Supported by partners, mentors, a buddy, and an intern captain to develop consulting skills and chart post-graduate opportunities.

Manage month-end close, perform variance analysis, review reconciliations and journals, support audits and SOX compliance, oversee tax and statutory filings, collaborate with stakeholders and participate in process improvement and finance projects.

Support client account teams in employee benefits: analyze insurance programs, run analytics, manage insurer relationships, assist retention and new business, handle day-to-day client queries, maintain workflow records, and participate in process improvement and remarketing.

Lead design and delivery of enterprise AI/RAG solutions for insurance risk consulting: run requirements workshops, produce architecture and UX, define RAG and prompt engineering approaches, ensure security/compliance, mentor engineers, and oversee implementation to production.

Design, build, and deploy production-grade AI solutions across knowledge assistants, document intelligence, automation, and predictive analytics. Develop end-to-end AI pipelines, write production-quality Python code, perform code reviews and validation, collaborate with architects and engineers, and ensure deployment readiness, monitoring, security, and scalability.