Marsh
We are seeking a talented individual to join our Actuarial team at Marsh Mc Lennan. This role will be based in Mumbai. This is a hybrid role that has a requirement of working at least three days a week in the office.
We will count on you to:
- Collect, cleanse, and validate premium and claims data from clients and insurers to ensure accuracy and reliability.
- Analyse up to 10 years of workers compensation claims and premium history to identify trends and drivers.
- Develop a deep understanding of various premium calculation methodologies and apply this knowledge to analyse and compare alternative risk models for clients.
- Conduct financial analysis of alternative premium structures, including burning cost arrangements and self-insurance options.
- Perform stress testing of multiple scenarios to evaluate potential financial outcomes and risks for clients.
- Develop and maintain bespoke reserving models tailored to client needs.
- Prepare clear, insightful reports and presentations summarising analysis, findings, and recommendations for clients and internal stakeholders.
- Collaborate closely with clients to understand their business, address queries, and provide actionable insights.
- Lead projects to develop and enhance analytics tools, including those supporting IFRS 17 reporting.
- Continuously improve processes and methodologies, incorporating advanced actuarial techniques and emerging analytics technologies.
- Work collaboratively within the Alternative Risk Solutions and broader Workers Compensation teams to innovate and refine analytical approaches.
- Help build best-in-class bespoke executive review reports for marquee clients, focusing on claim and premium performance analysis over a defined period, including identifying key drivers of premium and claim costs.
What you need to have:
- Minimum 7 years of experience in P&C actuarial roles, with a strong reserving background.
- Degree in Statistics, Mathematics, Actuarial Science, Computer Science, Engineering, or related field.
- Completion of Core Principle actuarial exams; preferred papers include CS1, CS2, CM2, SP7, SP8, SA3.
- Proficiency in actuarial pricing techniques and financial/statistical analysis.
- Advanced skills in Microsoft Excel (including VBA) and programming languages such as Python or R.
- Strong analytical mindset with attention to detail and accuracy.
- Excellent communication and interpersonal skills, with the ability to explain complex concepts clearly.
- Commercial awareness and ability to balance analytical depth with practical business needs.
- Initiative to drive continuous improvement in analytics techniques and processes.
What makes you stand out?
- Strong communication skills with an ability to work in a team
- A commercial sense to apply proportionality to the depth of analytics used versus desired output
- Ability to take initiatives to strive for improvement in analytics techniques, process and output
- Statistics skills, including GLM, Bayesian probability, and other machine-learning techniques such as decision tree / random forest, etc.
Why join our team:
- We help you be your best through professional development opportunities, interesting work and supportive leaders
- We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities
- Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being
Marsh, a business of Marsh McLennan (NYSE: MMC), is the world’s top insurance broker and risk advisor. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businesses: Marsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit marsh.com, or follow on LinkedIn and X.
