Manager - Actuarial

4 days ago

Gurgaon, Haryana, India Mercer Full time

Marsh is seeking candidates for the following position based in the Gurgaon office:

Manager – Actuarial

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 same
  • Opportunity to work on consulting projects with multi industry exposure
  • A competitive salary, employee friendly policies, health care and insurance for you and dependants
  • A respectful work environment that values healthy work-life balance
  • Future career opportunities across a global organization
  • Chance to be a part of a dynamic work culture that rewards innovation and collaboration
  • Curated training programs to bring up to speed with enhancing and building knowledge on risk management
  • Opportunity to work and grow in a diverse stakeholder environment with Marsh's top Risk Consultants
  • A 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 supervision
  • Analyze complex models in order to assess risk and viability of risk mitigation solutions
  • Examine client issues further for concerns that may not be clear and identifies opportunities to offer solutions
  • Identify opportunities for new and existing business with small clients
  • Apply functional understanding of product and risk assessment and possible outcomes through scenario testing
  • Contribute 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 background
  • A degree in Statistics/Mathematics/Actuarial/Computer Science/Engineering
  • Completed 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 techniques
  • Good programming language skills on Python or R with end to end designing and development experience
  • Excellent data visualization and report-making skills
  • Excellent Microsoft Office skills, particularly in Excel (including VBA) and PowerPoint
  • Superior analytical, mathematical and statistical modelling
  • Detail 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 team
  • A commercial sense to apply proportionality to the depth of analytics used versus desired output
  • P&C Actuarial experience with a Pricing background
  • Statistics 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 data
  • Basic understanding on use of APIs through Python/R
  • Ability to take initiatives to strive for improvement in analytics techniques, process and output

Marsh is the world's leading insurance broker and risk adviser. With more than 45,000 colleagues advising clients in over 130 countries, Marsh serves commercial and individual clients with data-driven risk solutions and advisory services. Marsh is a business of Marsh McLennan (NYSE: MMC), the world's leading professional services firm in the areas of risk, strategy and people. With annual revenue of $23 billion, Marsh McLennan helps clients navigate an increasingly dynamic and complex environment through four market-leading businesses: Marsh, Guy Carpenter, Mercer, and Oliver Wyman. For more information, visit , follow us on LinkedIn and X.

Marsh McLennan 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 McLennan 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.

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