Senior Actuarial Specialist

IJP - Senior Specialist - Actuarial

Company:

Marsh

Description:

We are seeking a talented individual to join our Actuarial team at Marsh Mc Lennan.This role will be based in Mumbai/Gurgaon. This is a hybrid role that has a requirement of working at least three days a week in the office.

Job Title : Senior Specialist - Actuarial

No. Of Roles: 1

Location: Mumbai/Gurgaon

Last day to Apply: 7th Oct 25

We will count on you to:

• Reporting key metrics, self-service analytics products and analyse disparate data sets together for patterns and insights.
• Exploratory data analytics, Predictive models that forecast behaviours and cost and Data story telling by using the best-in-class BI tools
• Apply functional understanding of product and risk assessment and possible outcomes through scenario testing
• Analytics orientated approach to solve real business problems.

What you need to have: 

• The candidate should preferably have experience in insurance/reinsurance industry in their modelling/data science team up to 4 years.
• Cleared 4+ actuarial papers
• Detailed knowledge of actuarial pricing techniques
• Hands-on experience in BI tools –Qlik Sense & Tableau and Power BI (Good to have) and Analytics tools R/Python/VBA & techniques to build Model, Validate and implement. For sure having a good data science knowledge by working on some real projects.
• Applied math / stats skills, including GLM, Bayesian probability, and other machine-learning techniques such as decision tree / random forest etc.

Eligibility

• Minimum 12 months experience as Senior Specialist (C2) / Specialist (C1)
• Should have at least “On-Track” or equivalent rating in last appraisal.
• Should not be under any Performance Counselling Plan or had any official disciplinary action within the last 3 months.
• Should not have applied for any other IJP in the last 3 months.

What makes you stand out?

• Strong academic rigour, and students passing with statistics and data science skills from IIT/NIT/IISC
• Strong programming skills and technical individual contributor
• P&C Actuarial experience with a Pricing background (especially in areas of applying regression techniques such as GLM).
• Ability to take initiatives to strive for improvement in analytics techniques, process and output.

Disclaimer

• Please note that the relocation assistance shall not be provided for the said position
• Candidates who wish to apply for inter-location positions are required to check with the Transport Help Desk (THD) to confirm if their place of residence is within the served transport service zone
• Mention your employee id and official email address in the resume

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.

Experience Level

Senior Level