Manager – Actuarial

As a part of the Marsh Advisory team in Knowledge Services function of MMGS, the colleague would support our US and Canada Analytics Advisory stakeholders and provide solutions in the increasing needs of Pricing and Risk Finance Optimization.MMGS is a global knowledge centre for Marsh McLennan and houses teams, which work closely with the colleagues across various operating units and locations. This position is out of our Mumbai, India office of MMGS. In this role, you will have the opportunity to help clients mitigate some of their most difficult problems across various risks. What can you expect?Work within the Analytics Solutions team of Marsh Advisory, reporting to the Senior Manager/Associate Director of the team. Take on responsibility for delivering client specific analytics solutions under direct supervision in support of risk finance decisions with the goal of positioning Marsh ahead of its competitors in this area. 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. What is in it for you?Opportunity to be a part of world’s leading insurance broker and risk management company Opportunity to learn about risks in a holistic manner and build expertise in the sameOpportunity to work on consulting projects with multi industry exposureA competitive salary, employee friendly policies, health care and insurance for you and dependantsA respectful work environment that values healthy work-life balanceFuture career opportunities across a global organizationChance to be a part of a dynamic work culture that rewards innovation and collaborationCurated training programs to bring up to speed with enhancing and building knowledge on risk managementOpportunity to work and grow in a diverse stakeholder environment with Marsh’s top Risk ConsultantsA clear career path with a hybrid of technical track and management track to grow in the company. In the technical track, the candidate will be developing sophisticated actuarial and analytics skill sets in assessing complex risk transfer solutions. In the management track, the candidate will develop skills sets in business and sales strategy, communications with clients, leading and designing internal and external training and marketing campaigns. We will count on you to:Assist in the development of new, market-leading analytics-based tools to assess and mitigate risk under moderate supervisionAnalyze complex models in order to assess risk and viability of risk mitigation solutionsExamine client issues further for concerns that may not be clear and identifies opportunities to offer solutionsIdentify opportunities for new and existing business with small clientsApply functional understanding of product and risk assessment and possible outcomes through scenario testingContribute to the delivery of analytics-based tools to help internal and external clients quantify and mitigate risks What you need to have:

4 to 6 years of experience in P&C Actuarial experience with a Pricing backgroundA degree in Statistics/Mathematics/Actuarial/Computer Science/EngineeringCompleted at least 5 Actuarial exams (according to new curriculum)Preferable papers as per old curriculum (CT3, CT4, CT6, ST8)Preferable papers as per new curriculum (CS1, CS2, SP8)Detailed knowledge of actuarial pricing techniquesGood programming language skills on Python or R with end to end designing and development experienceExcellent data visualization and report-making skillsExcellent Microsoft Office skills, particularly in Excel (including VBA) and PowerPointSuperior analytical, mathematical and statistical modellingDetail orientation, communication and interpersonal skills Ability to develop strong client oriented solutions What makes you stand out?Strong communication skills with an ability to work in a teamA commercial sense to apply proportionality to the depth of analytics used versus desired outputP&C Actuarial experience with a Pricing backgroundStatistics skills, including GLM, Bayesian probability, and other machine-learning techniques such as decision tree / random forest, etc.Knowledge of natural language processing or web scrapping techniques to extract dataBasic understanding on use of APIs through Python/RAbility to take initiatives to strive for improvement in analytics techniques, process and output

Marsh is a global leader in insurance broking and risk management. In more than 130 countries, our experts in every facet of risk and across industries help clients to anticipate, quantify, and more fully understand the range of risks they face. In today’s increasingly uncertain global business environment, Marsh helps clients to thrive and survive. We are a wholly owned subsidiary of Marsh McLennan (NYSE: MMC), a global professional services firm offering clients advice and solutions in the areas of risk, strategy, and people. With 76,000 colleagues worldwide and annual revenue approaching $17 billion, Marsh & McLennan Companies also include global leaders Guy Carpenter, Mercer, and Oliver Wyman.

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