OverviewCompany: MercerDescription:We are seeking a talented individual to join our Risk Team in Marsh McLennan. This role will be based in our London office. This is a hybrid role that has a requirement of working at least three days a week in the office.You will play an active role in enhancing the Risk Function's use of data, analytics and AI in the identification and assessment of key risks, thereby championing a data-led approach to risk management. This will involve working with the team as well as senior functional and business stakeholders to help identify and utilise a breadth of data sources.This is a great opportunity to join:A truly global organisation that can offer learning and ongoing career development opportunities. You will have the opportunity to learn from and work with a diverse and dynamic group of colleagues and businesses.A highly skilled Risk team that partners with the business to balance achieving its growth ambitions whilst managing risks.A Risk Function that strives to continuously improve and innovate and learn from each other. You will support a number of enhancement activities, working closely with the Deputy Chief Risk Officer and the wider team. The role will therefore come with plenty of variety and opportunity to learn as well as share your own industry experience.Flexible working based in the London office and occasional UK travel may be required.What you need to havePractical experience in data analytics (ideally in a risk management related environment, but this is not necessary). Ability to analyse complex data sets to identify trends.Proficient in the practical use of LLMs/ ChatGPT, including effective prompt engineering, to improve processes and quality.Understanding of AI risk governance frameworks and relevant evolving regulations (e.g., NIST AI RMF, EU AI Act, GDPR).Ability to work effectively with a range of stakeholders, with sufficient experience to drive engagement and competency in utilising AI and data analytics in risk management.What makes you stand outRisk Management, AI or Data Analytics related qualifications.Experience using data and analytics to inform risk decisions (e.g., build or oversee predictive models, design KRIs/early warning indicators, or data-driven thematic reviews).Experience in the insurance or insurance broking industry and / or Investment management industry.Why join our teamWe 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-beingMarsh (NYSE: MRSH) is a global leader in risk, reinsurance and capital, people and investments, and management consulting, advising clients in 130 countries. With annual revenue of over $27 billion and more than 95,000 colleagues, Marsh helps build the confidence to thrive through the power of perspective. For more information, visit corporate.marsh.com, or follow us on LinkedIn and X.Marsh 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 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 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. #J-18808-Ljbffr