Senior Manager - Insurance Actuaries
Gurugram - DLF Building, India
Marsh McLennan
Marsh McLennan is the world’s leading professional services firm in risk, strategy and people. We bring together experts from across our four global businesses — Marsh, Guy Carpenter, Mercer and Oliver Wyman — to help make organizations more...Company:
MarshDescription:
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
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Bayesian Computer Science Data visualization Engineering Excel Finance Mathematics Python R Research Statistics
Perks/benefits: Career development Flex hours Health care Insurance Relocation support
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