Lead Specialist - Actuarial Pricing, Non Life

Marsh McLennan; Mumbai; Hybrid; INR 1,400,000 - 2,400,000; Full time

Job summary

Marsh McLennan in Mumbai (and Gurgaon) is seeking a talented Actuarial/Data Analytics professional to join our team in a hybrid role requiring three days in the office. You will report metrics, develop self-service analytics, and explore data to uncover patterns and insights.

The ideal candidate has actuarial modelling experience, knowledge of pricing techniques, and hands-on experience with BI tools and data science languages.

Qualifications

• Actuarial experience in pricing techniques and data modelling in insurance/reinsurance.
• Hands-on BI tools experience with Qlik Sense, Tableau, and Power BI.
• Proficiency in analytics with R/Python/VBA and data science projects.

Responsibilities

• Report key metrics and analyze disparate data sets for patterns and insights.
• Develop self-service analytics products and insights for stakeholders.
• Apply scenario testing to assess product and risk outcomes.
• Drive analytics-driven decision making and data storytelling.

Skills

Actuarial data modelling

Statistical modeling (GLM, Bayesian)

Machine learning techniques

Problem solving

Communication

Education

Actuarial exams cleared 4+

Applied mathematics or statistics degree

Tools

Qlik Sense

Tableau

Power BI

R

Python

VBA

Job description

We are seeking a talented individual to join our Actuarial team at Marsh . 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.

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-best BI tool
• sApply functional understanding of product and risk assessment and possible outcomes through scenario testin
• gAnalytics orientated approach to solve real business problems

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What you need to have

• The candidate should preferably have experience in insurance/reinsurance industry in their modelling/data science team up to 4 year
• Cleared 4+ actuarial paper
• 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 project
• Applied math / stats skills, including GLM, Bayesian probability, and other machine-learning techniques such as decision tree / random forest etc

What makes you stand o

• Strong academic rigour, and students passing with statistics and data science skills from IIT/NIT/ISC
• Strong programming skills and technical individual contribution
• 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 outp
• 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 communitues
• Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-

Marsh is a global leader in risk, strategy and people, advising clients in 130 countries across four busesses: Marsh, Guy Carpenter, Mercer and Oliver Wyman . With annual revenue of $23 billion and more than 85,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit marshmclennan.com , or follow on LinkedIn

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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 McLennan 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.