Job Description n Manager – Actuarial ( Pricing or Reserving ) n Marsh Risk Consulting n n About Marsh n n 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 . n n Role overview n n 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. n n What can you expect? n n n You will work within the Analytics Solutions team of Marsh Risk Consulting, reporting to a Senior Manager or Director. n You will be responsible for leading, reviewing, and delivering client-specific analytics solutions that support risk and financial decisions. n You will perform a wide range of financial, actuarial, and statistical analyses to help clients quantify the risks they face and evaluate mitigation options. n You will typically lead a portion of projects independently, while also supporting senior team members on larger or more complex assignments. n You will review, guide, and delegate work to junior team members to help ensure high-quality delivery. n n n We will count on you to: n n n Perform actuarial, financial, and statistical analysis to assess and quantify client risks. n Examine client issues in detail, identify key drivers, and develop recommendations to support risk analysis and mitigation. n Work with internal teams and global colleagues to deliver practical, timely, and high-quality client solutions. n Support client engagements by preparing reports, presentations,



and clearly communicating findings and recommendations. n Participate in and, where appropriate, lead projects, taking increasing responsibility for more complex assignments. n Contribute to client relationship management and identify opportunities for new business, where relevant. n Support the development, enhancement, and application of analytics-based tools, models, and solutions to address client needs. n Help establish and implement market-leading analytics-based approaches to assess and mitigate risk. n Conduct research to improve analytics techniques, processes, and outputs. n Identify opportunities to improve and automate processes, reducing manual effort and increasing efficiency. n Contribute to innovation and continuous improvement in analytics, reporting, and delivery methods. n Provide training, mentoring, and guidance to junior team members, as appropriate. n Share knowledge and collaborate effectively across teams to strengthen delivery capability. n n n What you need to have: n n n Degree in Statistics, Mathematics, Actuarial Science, Computer Science, Engineering, or related field. n 5+ years of experience in P&C; actuarial or insurance analytics work, with exposure to pricing, reserving, capital, regulatory, or related technical areas. n Completed at least 10 actuarial exams under the new curriculum n Preferably passed relevant papers under the old curriculum such as CT3, CT4, CT6, and ST8.



n Preferably passed relevant papers under the new curriculum such as CS1, CS2, and SP8. n Strong technical knowledge of actuarial and analytical techniques n Proficiency in Python and/or R, including experience with data visualization and report generation. n Advanced Microsoft Office skills, particularly Excel (including VBA) and PowerPoint. n Strong analytical thinking, problem-solving, and attention to detail. n Good communication, interpersonal, and teamwork skills. n n n What makes you stand out? n n n Exposure to regulatory and reporting requirements related to capital, solvency, or insurance financial reporting would be an advantage. n Strong knowledge of actuarial pricing, reserving, and risk transfer techniques. n Experience with statistical modeling, including GLM and machine learning methods such as decision trees, random forest, and XGBoost. n Good commercial judgment, with the ability to balance technical depth and business needs. n Strong communication skills and the ability to work effectively as part of a team. n Confidence in handling client interactions and contributing to solution-oriented discussions. n Ability to work well under pressure and deliver to deadlines. n A proactive mindset, with the ability to improve analytics techniques, processes, and outputs. n Ability to coach and mentor junior colleagues effectively. n n n Why join our team: n n n We help you be your best through career development opportunities, interesting work and supportive leaders. n 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. n Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being. n n

📌 Actuarial Analyst - Pricing (Faridabad)
🏢 Marsh
📍 Faridabad