Actuarial Analyst - Pricing

Marsh · Gurugram, India

Manager – Actuarial ( Pricing or Reserving )

Marsh Risk Consulting

About Marsh

Marsh (NYSE: MRSH) is a global leader in risk, reinsurance and capital, people and investments, and management consulting, advising clients in 130 countries. With annual revenue of over $24 billion and more than 90,000 colleagues, Marsh helps build the confidence to thrive through the power of perspective. For more information, visit , or follow us on LinkedIn and X.

Role overview

We are seeking a talented Actuarial Manager to join our Analytics Solutions team at Marsh Risk Consulting. This role will be based in Mumbai / Gurugram. This is a hybrid role that has a requirement of working at least three days a week in the office.

What can you expect?

• You will work within the Analytics Solutions team of Marsh Risk Consulting, reporting to a Senior Manager or Director.
• You will be responsible for leading, reviewing, and delivering client-specific analytics solutions that support risk and financial decisions.
• You will perform a wide range of financial, actuarial, and statistical analyses to help clients quantify the risks they face and evaluate mitigation options.
• You will typically lead a portion of projects independently, while also supporting senior team members on larger or more complex assignments.
• You will review, guide, and delegate work to junior team members to help ensure high-quality delivery.

We will count on you to:

• Perform actuarial, financial, and statistical analysis to assess and quantify client risks.
• Examine client issues in detail, identify key drivers, and develop recommendations to support risk analysis and mitigation.
• Work with internal teams and global colleagues to deliver practical, timely, and high-quality client solutions.
• Support client engagements by preparing reports, presentations, and clearly communicating findings and recommendations.
• Participate in and, where appropriate, lead projects, taking increasing responsibility for more complex assignments.
• Contribute to client relationship management and identify opportunities for new business, where relevant.
• Support the development, enhancement, and application of analytics-based tools, models, and solutions to address client needs.
• Help establish and implement market-leading analytics-based approaches to assess and mitigate risk.
• Conduct research to improve analytics techniques, processes, and outputs.
• Identify opportunities to improve and automate processes, reducing manual effort and increasing efficiency.
• Contribute to innovation and continuous improvement in analytics, reporting, and delivery methods.
• Provide training, mentoring, and guidance to junior team members, as appropriate.
• Share knowledge and collaborate effectively across teams to strengthen delivery capability.

What you need to have:

• Degree in Statistics, Mathematics, Actuarial Science, Computer Science, Engineering, or related field.
• 5+ years of experience in P&C actuarial or insurance analytics work, with exposure to pricing, reserving, capital, regulatory, or related technical areas.
• Completed at least 10 actuarial exams under the new curriculum
• Preferably passed relevant papers under the old curriculum such as CT3, CT4, CT6, and ST8.
• Preferably passed relevant papers under the new curriculum such as CS1, CS2, and SP8.
• Strong technical knowledge of actuarial and analytical techniques
• Proficiency in Python and/or R, including experience with data visualization and report generation.
• Advanced Microsoft Office skills, particularly Excel (including VBA) and PowerPoint.
• Strong analytical thinking, problem-solving, and attention to detail.
• Good communication, interpersonal, and teamwork skills.

What makes you stand out?

• Exposure to regulatory and reporting requirements related to capital, solvency, or insurance financial reporting would be an advantage.
• Strong knowledge of actuarial pricing, reserving, and risk transfer techniques.
• Experience with statistical modeling, including GLM and machine learning methods such as decision trees, random forest, and XGBoost.
• Good commercial judgment, with the ability to balance technical depth and business needs.
• Strong communication skills and the ability to work effectively as part of a team.
• Confidence in handling client interactions and contributing to solution-oriented discussions.
• Ability to work well under pressure and deliver to deadlines.
• A proactive mindset, with the ability to improve analytics techniques, processes, and outputs.
• Ability to coach and mentor junior colleagues effectively.

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.