Reinsurance Actuary (Data analysis focus)

Job title: Reinsurance Actuary (Data analysis focus)

Company: Marsh McLennan


Job description: Company: Guy CarpenterDescription:We are seeking a talented individual to join our Marine Energy and Engineering Analytics team at Guy Carpenter. This role will be based in London. This is a hybrid role that has a requirement of working at least three days a week in the office.The Marine Energy and Engineering Analytics team currently consists of nine Actuaries and four Cat Modellers in London, with a three further Cat Modellers in Mumbai. We are a truly global team working on large multinational clients, so we regularly work with our broking and analytical colleagues in both the US and Asia. There is a wide scope to add real value to our clients and plenty of opportunity for creativity. Our team is collaborative and innovative and has naturally grown over the years with colleagues joining from other teams within the company and with excellent staff retention.This a unique, hybrid role which will involve approximately 60% Cat modelling and 40% actuarial work, with a data analysis focus.What can you expect?

• The team has a significant client and market facing presence and team members will need to be able to support this by presenting and pitching to prospect clients. Whilst based in London, the successful applicant will have the opportunity to become a key part in a team with a global reach and remit.
• This is a real opportunity in the development and innovation of tools as the company continues to invest. You will also be given the chance to work on new lines of business and you will be able to contribute to building tools from scratch whilst being supported by the wider team and senior management.

We will rely on you to:

• Contribute on model development, quality control, and project delivery.
• Create innovative tools to process, visualise, and analyse data
• Demonstrate excellent communication skills and the ability to confidently engage with brokers and deliver presentations to clients.
• Manage complex client case work including the analysis of risk, structuring, pricing and optimisation of technically complex reinsurance programmes.
• Be confident juggling multiple priorities for a range of different stakeholders, often under challenging deadlines and circumstances.
• Be considered and assured in communicating technical concepts to internal and external audiences with varying levels of understanding of the risk.
• Drive independent research into areas of interest to Marine, Energy, Terror and Engineering, including developing and maintaining technical, market, and regulatory knowledge.

What you need to have:

• Bachelor’s degree in Actuarial Science, Economics, Math, Statistics, or related field
• Be self-driven with the curiosity to question and learn
• Data management experience with the ability to cleanse and manipulate large data sets to provide insights (experience with SQL preferred)
• Proven ability to maintain a high level of accuracy and precision in data handling and documentation. Attention to detail is critical
• Good communication and interpersonal skills, with the ability to effectively collaborate with stakeholders
• Excellent project management skills with a proven track record of delivering to deadlines
• Proficient in MS Office; with advanced skills in Excel and PowerPoint in particular

What makes you stand out:

• An understanding of, or experience in, the reinsurance/insurance industry
• Coding experience in programming languages (i.e. Alteryx, R, Python, VBA, SQL)
• Depth of expertise in a particular line or segment within the insurance industry
• Visualization skills – Power BI or similar.
• Knowledge or experience in reinsurance pricing

Why join our team:

• We help you be your best through professional development opportunities, interesting work and supportive leaders.
• We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities.
• Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being.

Guy Carpenter, a business of Marsh McLennan (NYSE: MMC), is a leading global risk advisory and reinsurance specialist and broker. 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 guycarp.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, civil partnership status, 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. We are an equal opportunities employer. We are committed to providing reasonable adjustments in accordance with applicable law to any candidate with a disability to allow them to fully participate in the recruitment process. If you have a disability that may require reasonable adjustments, please contact us at reasonableaccommodations@mmc.com.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.

Expected salary:

Location: United Kingdom

Job date: Mon, 12 May 2025 02:19:37 GMT

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