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Manager - Actuarial - Pricing - Victor Insurance


Marsh McLennan


Location

Gurgaon | India


Job description

Job Profile: Manager – Actuarial

Location: Gurugram MMC Business Unit: Victor Insurance

Victor Insurance is a wholly owned subsidiary of Marsh & McLennan Companies (MMC), and is world’s largest Managing General Agency (MGA) with authority to underwrite from several large carriers. Victor’s broad set of capabilities can be deployed in unique combinations to create value, and like any carrier it has the distribution, underwriting, operations, risk management and claims as the key departments. The International business of Victor comprises of operations in the Netherlands, UK, Italy, Germany, and Australia.

Marsh McLennan Global Services India Private Limited (MMGS) is a global knowledge centre for the MMC Group and houses teams which work closely with the colleagues across various operating units and locations. This position will be based out of our Mumbai, India office of MMGS.

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 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.

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.


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