Assistant Vice President

Marsh; Mumbai; Hybrid; INR 4,000,000 - 6,000,000; Full time

Job summary

Marsh is seeking a Senior Actuary to join our Actuarial Analytics team in Mumbai. You will validate client data, support pricing and reinsurance model setups, and contribute to capital modelling and IFRS17 projects across India.

You will analyse portfolio performance, assess risk exposures, and help shape actionable recommendations for multi-market clients, including collaboration with IMEA teams and brokers.

Qualifications

• Bachelor’s or master’s degree in Actuarial Science, Data Science, Engineering, Physics, Mathematics, Statistics, or related technical discipline.
• Completion of at least 7 actuarial exams preferred.
• Capital Modelling & IFRS 17 experience.

Responsibilities

• Organize and validate client data for pricing and reinsurance model setup.
• Capital modelling and IFRS17 implementation support for regional clients.
• Perform portfolio performance assessments for general insurance lines.
• Calculate risk exposures and predict outcomes to support reinsurance requirements.
• Support reinsurance structuring and optimization including quota share, excess of loss, and retention analysis.
• Build and interpret loss projections, volatility metrics, and stress scenarios.

Skills

Actuarial Exams

Data Analysis

Client Communication

Project Leadership

Education

Bachelor/Master in Actuarial Science or related

Tools

MetaRisk

Portfolio Models

Excel Frameworks

Python/R

Job description

Marsh

Description:

We are looking for a talented and dynamic individual to join our Marsh Reinsurance, a Marsh business. This role is based in Mumbai.

About the job

We are seeking a high-performing technically adept Senior Actuary to join our Actuarial Analytics team in Mumbai, India , supporting clients across India.

Key responsibilities

• Organize and validate client data for pricing and reinsurance model setup.
• Capital modelling and IFRS17 implementation support for regional clients.
• Perform portfolio performance assessments for general insurance lines.
• Calculate risk exposures and predict outcomes to support reinsurance requirements.
• Support reinsurance structuring and optimization including quota share, excess of loss, and retention analysis.
• Build and interpret loss projections, volatility metrics, and stress scenarios.
• Assist senior team members in client meetings, presentations, and strategy discussions.
• Develop commercial narratives alongside technical results.
• Understand client context to shape practical, actionable recommendations.
• Utilize internal tools (e.g., MetaRisk, portfolio models) and Excel frameworks to develop and optimize bespoke reinsurance transactions.
• Support development of analytics frameworks, dashboards, and structured outputs.
• Contribute to thought leadership, market studies, and internal knowledge building.
• Take ownership of deliverables with minimal supervision.
• Research industry and regulatory developments affecting loss liabilities.
• Establish and maintain strong relationships with brokers, clients, reinsurers, and colleagues.
• Respond promptly to client queries and concerns.
• Foster an inclusive work environment valuing diverse backgrounds and perspectives.
• Collaborate across Mumbai, Dubai, and wider IMEA teams.

Why this role

• Exposure to multi-market IMEA portfolio
• Opportunity to work on high-impact reinsurance decisions
• Steep learning curve across technical, commercial, and client-facing dimensions

What you need to have:

• Bachelor’s or master’s degree in Actuarial Science, Data Science, Engineering, Physics, Mathematics, Statistics, or related technical discipline.
• 5-7 years of relevant work experience; completion of at least 7 actuarial exams preferred.
• Capital Modelling & IFRS 17 experience.
• Curious and proactive mindset with ability to lead initiatives and research projects.
• Collaborative and team-oriented with strong interpersonal skills.
• Highly organized and detail-oriented.
• Ability to manage multiple projects simultaneously.
• Desire and capacity for continuous growth.
• Superior communication and presentation skills.
• Proficient in MS Excel and other MS Office products

What makes you stand out:

• Familiarity with analytical and visualization tools such as R, Python, SQL, Alteryx, Power BI, or equivalent platforms.
• Experience in a technical role at a reinsurance broker, market, or catastrophe model vendor.
• Prior experience in re/insurance with understanding of the reinsurance industry and product lines, Risk-Based Capital Modelling and IFRS 17 experience.

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 Risk is a business of Marsh (NYSE: MRSH), a global leader in risk, reinsurance and capital, people and investments, and management consulting, advising clients in 130 countries. With annual revenue of over $27 billion and more than 95,000 colleagues, Marsh helps build the confidence to thrive through the power of perspective. For more information about Marsh Risk, visit marsh.com , or follow us on LinkedIn and X .

Marsh is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law.

Marsh is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one "anchor day" per week on which their full team will be together in person.