What can you expect?

• A chance to work with Industry leaders, global clients and access to latest trends in Insurance domain.
• Joining a team of actuarial and analytics experts with an average experience of 9 years in the business. On job training on real client projects with mentoring/training from experts.
• Learn the business:  Gain familiarity with the Victor insurance business by learning the product suite at a high level and consulting with various personnel across the company: Underwriters, Actuaries, Accountants, Claims Managers, Database Administrators & others.
• Perform and develop a wide variety of financial and statistical analysis to help Marsh’s clients quantify the risks they face and make decisions on how best to protect themselves against those risks.
• Assess predictive models and data visualization dashboards: Develop an understanding and mastery of key insurance ratios & statistics (loss ratios, frequency & severity trends) and support the actuarial & analytics teams within Victor Insurance
• Work on platforms to develop digital/web based data analytics products using advance analytics and visualization techniques to provide business actionable insights.

What is in it for you?

• In the technical track, the candidate will be developing sophisticated actuarial and analytics skills sets in assessing complex risk transfer solutions
• A competitive salary, employee friendly policies, health care and insurance for you and dependants
• A respectful work environment that values healthy work-life balance
• Be a member of the elite Data Science Community (DSCo) at MMGS India and work directly with the Knowledge Services leaders to build solutions to support strategic initiatives
• Future career opportunities across a global organization
• Curated training programs to bring up to speed with Insurance knowledge

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 2 years.
• 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.

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.