Marsh

<html><body>Marsh McLennan Global Service Private Limited is seeking candidates for the following position based in the Mumbai office. MMC cyber risk intelligence center, india knowledge service, Mumbai The Cyber Risk Intelligence Center is focused on these key activities:<ul><li>Development of the MMC view of risk via research, development, and maintenance of proprietary cyber risk loss estimation models</li><li>Evaluating and licensing external models and data to complement our proprietary view of risk</li></ul>Cross-MMC data sharing and governance Lead Specialist – Data Science What can you expect?The MMC Cyber Risk Intelligence Center team offers to provide cyber modeling, thought leadership, and cyber analytics guidance across the MMC enterprise. The Lead Specialist would work closely with this group to:<ul><li>Expand upon the company’s existing cyber database to keep in-house model consistent with the market trends and have an immediate impact on clients.</li><li>Build database for emerging aspects of cyber risk</li><li>Understand the different cyber data and analytics needs of corporations, insurance companies, and reinsurance companies, and develop database pipeline and analytic solutions for each</li></ul> What is in it for you?Discover what's great about working at Marsh McLennan – from the opportunities that our size brings, to our commitment to our communities and understanding the benefits you’ll receive. We are four businesses with one purpose: Helping companies meet the challenges of our time.As a global leader in insurance broking and risk management, we are devoted to finding diverse individuals who are committed to the success of our clients and our organization. Joining us will provide a solid foundation for you to accelerate your career in the risk and insurance industry. You will join a team of talented professionals from across the globe which is dedicated to helping clients manage some of the world's most challenging and complex risks. We can promise you extraordinary challenges, extraordinary colleagues, and the opportunity to make a difference.Our rich history has created a client service culture that we believe is second to none. Our commitments to Diversity and Inclusion, Corporate Social Responsibility, and sustainability demonstrate our commitment to stand for what is right We will count on you to:<ul><li>Primarily work with the MMC Cyber Risk Intelligence Center team to maintain, expand and develop existing workflow</li><li>Clean, preprocess, and document data science projects and cloud data pipelines using SQL, Python, dbt, and Spark.</li><li>Build and organize cloud data pipelines, data science models, and analytics into stable and scalable workflows within Databricks. </li><li>Write clear, comprehensive documentation for data pipelines, models, and applications. </li><li>Manage code repositories and version control using GitHub, ensuring best practices for collaboration and code quality. </li><li>Identify, troubleshoot, and fix bugs in existing data science code and applications. </li><li>Collaborate effectively with backend engineering teams to integrate data science solutions.</li><li>Work asynchronously across Denver and Mumbai time zones, ensuring timely communication and project delivery. </li><li>Support continuous improvement of data workflows and deployment processes.</li><li>The incumbent will assist in transforming data science projects into robust, production-ready pipelines, dashboards, and applications within Databricks.</li><li>Be client centric - To be self-motivated and effectively switch between projects to meet business priorities</li></ul> What you need to have: <ul><li>Bachelor’s degree in Computer Science, Data Science, Statistics, or related field. </li><li>Experience with SQL, Python, dbt and cloud data ETL pipelines.</li><li>Proficiency with version control systems, especially GitHub. </li><li>Strong problem-solving skills and attention to detail. </li><li>Ability to work independently and collaboratively in a remote, asynchronous environment. </li><li>Excellent written communication skills for documentation purposes.</li></ul> What makes you stand out?<ul><li>Experience building cloud data ETL pipelines in environments such as AWS, GCP, Databricks, dbt etc.</li><li>Experience working asynchronously across global time zones using ticketing systems, sharepoint/confluence, and chat applications for coordination.</li><li>Experience and familiarity with modern AI solutions, including LLMs, Graph Networks, and Recommendation Algorithms.</li><li>Familiarity with cybersecurity concepts and controls, such as threat intelligence, EDR, SIEM, PAM, etc</li><li>Strong academic rigor, and students passing with statistics and data science skills from reputed institution</li><li>Strong programming skills</li><li>Good communication skills to collaborate with data scientists, ML engineers, and business teams</li></ul><a href="https://www.marshmclennan.com/" target="_blank">Marsh McLennan</a> (NYSE: MMC) is the world’s leading professional services firm in the areas of risk, strategy and people. The Company’s 85,000 colleagues advise clients in 130 countries. With annual revenue of over $20 billion, Marsh McLennan helps clients navigate an increasingly dynamic and complex environment through four market-leading businesses. <a href="https://www.marsh.com/" target="_blank">Marsh</a> advises individual and commercial clients of all sizes on insurance broking and innovative risk management solutions. <a href="https://www.guycarp.com/" target="_blank">Guy Carpenter</a> develops advanced risk, reinsurance and capital strategies that help clients grow profitably and pursue emerging opportunities. Mercer delivers advice and technology-driven solutions that help organizations redefine the world of work, reshape retirement and investment outcomes, and unlock health and wellbeing for a changing workforce. <a href="https://www.oliverwyman.com/" target="_blank">Oliver Wyman</a> serves as a critical strategic, economic and brand advisor to private sector and governmental clients. For more information, visit <a href="https://www.marshmclennan.com/" target="_blank">marshmclennan.com</a>, or follow us on <a href="https://www.linkedin.com/company/marsh-&-mclennan-companies-inc-/mycompany/verification/?viewAsMember=true" target="_blank">LinkedIn</a> and <a href="https://twitter.com/MarshMcLennan" target="_blank">Twitter</a>.Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people regardless of their sex/gender, marital or parental status, ethnic origin, nationality, age, background, disability, sexual orientation, caste, gender identity or any other characteristic protected by applicable law. Marsh, a business of Marsh McLennan (NYSE: MMC), is the world’s top insurance broker and risk advisor. 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 marsh.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. </body></html>

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