Manager - Actuarial( Reserving- Non Life)

Marsh

Mumbai City

Hybrid

INR 2,500,000 - 4,000,000

Full time

14 days+

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Job summary

Marsh Risk Consulting in Mumbai seeks an experienced actuarial professional to join its analytics team. This hybrid role requires in-office presence at least three days a week and involves leading multiple projects across pricing, reserving, and regulatory topics.

You will perform complex actuarial analyses, develop client-focused reports, mentor juniors, and contribute to business development while maintaining rigorous project discipline and stakeholder alignment.

Qualifications

  • 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.
  • Strong communication, interpersonal, with good people management skills.

Responsibilities

  • 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 independently with minimal supervision, leading multiple projects simultaneously and ensuring alignment with stakeholder expectations and strategic goals.
  • Contribute to and lead the preparation of client reports, presentations, and other deliverables, ensuring findings are clearly structured and communicated.
  • 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, contributing to the establishment of market-leading approaches.
  • Identify and drive opportunities to automate and improve processes, delivering measurable gains in efficiency and output quality.
  • Foster an environment of innovation and continuous improvement in analytics techniques and delivery methods.
  • Provide training, mentoring, and guidance to junior team members, as appropriate.
  • Ensure team members maintain essential operational disciplines such as timesheets, project trackers, and leave records.
  • Build broad connections across Analytics Solutions and the wider organization and share knowledge to strengthen collective capability.

Skills

Actuarial analysis
P&C actuarial
Python
R
Data viz
Excel VBA
Communication
Project management
Stakeholder management

Education

Actuarial exams completed
Actuarial science degree

Job description

Company:

Marsh Risk

Description:

We are seeking a talented Actuarial professional to join our Actuarial team at Marsh Risk Consulting. 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:
  • 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 independently with minimal supervision, leading multiple projects simultaneously and ensuring alignment with stakeholder expectations and strategic goals.
  • Contribute to and lead the preparation of client reports, presentations, and other deliverables, ensuring findings are clearly structured and communicated.
  • 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, contributing to the establishment of market-leading approaches.
  • Identify and drive opportunities to automate and improve processes, delivering measurable gains in efficiency and output quality.
  • Foster an environment of innovation and continuous improvement in analytics techniques and delivery methods.
  • Provide training, mentoring, and guidance to junior team members, as appropriate.
  • Ensure team members maintain essential operational disciplines such as timesheets, project trackers, and leave records.
  • Build broad connections across Analytics Solutions and the wider organization and share knowledge to strengthen collective 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.
  • Strong communication, interpersonal, with good people management skills.
What makes you stand out:
  • Good knowledge of regulatory and reporting requirements related to capital, solvency, or insurance financial reporting standards (IFRS 17) would be an advantage.
  • Deep knowledge of actuarial reserving methodologies, risk transfer techniques, and exposure to quantitative methods such as cashflow projections and stochastic modelling, preferably within Workers' Compensation or similar long-tail liability lines of business.
  • 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.
  • Confidence in leading client interactions, presenting complex findings, and contributing to business development conversations.
  • Ability to work well under pressure, manage competing priorities, and maintain quality across a portfolio of engagements.
  • A proactive mindset, with the ability to improve analytics techniques, processes, and outputs.
  • Demonstrated ability to coach, develop, and provide performance feedback to 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 yo

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.

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