Senior Manager - Insurance Actuaries at Marsh McLennan

We are redirecting you to the source. If you are not redirected in 3 seconds, please click here.

Senior Manager - Insurance Actuaries Marsh McLennan. Location Information: Gurugram - DLF Building, India. . Company:. Marsh. Description:. Marsh McLennan (MMC) is seeking candidates for the following position based in the Mumbai/Gurgaon office:. . Senior Manager – Analytics Solutions, Marsh Advisory. Last Date to Apply - 6th August 2024. As a part of the Marsh Advisory team in Knowledge Services function of MMC, the colleague would support our US and Canada Analytics Advisory stakeholders and provide solutions in the increasing needs of Pricing and Risk Finance Optimization.. What can you expect?. The Senior Manager will work within the Analytics Solutions team of Marsh Advisory, reporting to the Associate Director.. He/she will be responsible for leading, reviewing and delivering client specific analytics solutions in support of risk finance decisions with the goal of positioning Marsh ahead of its competitors in this area.. This role will 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.. It is expected that the Senior Manager will lead/manage 30-50% of projects, while taking a supporting role with the lead from the Associate Director (or other senior team members) in 50-70% of projects.. Coaches, reviews and delegates work to team members.. What is in it for you?. 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:. Help establish and implement new, market-leading analytics-based tools to assess and mitigate risk. Develop complex models in order to assess risk and viability of risk mitigation solutions. Examine client issues further that may not be clear and develops recommendations for analysing and mitigating risk. Identify opportunities for new and existing business with small to mid-sized clients. Deliver analytics-based tools to help internal and external clients quantify and mitigate risks. Assist in the management of small to mid-sized projects to direct the team in developing analytics-based tools. Build new one or enhance existing experience and exposure based models for risk (like D&O, Cyber, Employment practice liability, Aviation etc.). Develop industry based models to be used for various clients. Improve and automate the process to minimise manual intervention . Research and develop pricing models for Specialty Clients. Train the junior resources on interpreting and estimating appropriate results. Estimate technical prices and come up with layer efficiency for different insurance layers. What you need to have: . 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 7 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. Detail orientation, communication and interpersonal skills. Excellent Microsoft Office skills, particularly in Excel (including VBA) and PowerPoint. Good programming language skills on Python or R. Excellent data visualization and report-making skills. 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. Ability to take initiatives to strive for improvement in analytics techniques, process and output. Statistics skills, including GLM, Bayesian probability, and other machine-learning techniques such as decision tree / random forest, etc.. Minimum 12 months experience as Manager (D2) / Senior Manager (E) . Should have at least “On-Track” or equivalent rating in last appraisal.. Should not be under any Performance Counselling Plan or had any official disciplinary action within the last 3 months.. Should not have applied for any other IJP in the last 3 months.. Disclaimer. Please note that the relocation assistance shall not be provided for the said position. •Candidates who wish to apply for inter-location positions are required to check with the Transport Help Desk (THD) to confirm if their place of residence is within the served transport service zone. •Mention your employee id and official email address in the resume. Mercer, a business of Marsh McLennan (NYSE: MMC), is a global leader in helping clients realize their investment objectives, shape the future of work and enhance health and retirement outcomes for their people. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businesses: Marsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit mercer.com, or follow 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.. .