Analyst I - Risk Analytics

Marsh & McLennan Companies; Kuala Lumpur; Hybrid; MYR 30,000 - 40,000; Full time

Job summary

A leading global risk advisory firm is seeking a talented individual to join their Analytics team as an intern. This hybrid role focuses on supporting APAC analytics through the development and deployment of automation tools and data solutions. Responsibilities include identifying automation opportunities, developing solutions using Python and SQL, and collaborating with senior analysts. Ideal candidates are current students or recent graduates in relevant fields with strong coding skills. This position offers professional development opportunities and a supportive team environment.

Benefits

Professional development opportunities

Inclusive work culture

Career advancement opportunities

Qualifications

• Current student or recent graduate in Computer Science, Data Science, Engineering, Statistics or related field.
• Strong Python and SQL skills; experience with pandas or equivalent.

Responsibilities

• Identify and prioritize high-impact manual processes for automation across APAC.
• Develop, test, and deploy automation solutions (Python/SQL scripts, ETL jobs, dashboards, or small web tools).
• Document code, runbooks, and perform knowledge transfer to permanent staff.
• Monitor adoption and performance; iterate based on stakeholder feedback.

Job description

Overview

We are seeking a talented individual to join Analytics team at Guy Carpenter. This role will be based in Shanghai Office. This is a hybrid role that has a requirement of working at least three days a week in the office.

Support APAC analytics by building and deploying internal automation tools and lightweight data solutions that reduce manual effort, improve accuracy, and speed delivery. The intern will work with analytics leads, be mentored by a senior analyst/engineer, and hand over production‑ready artifacts.

Responsibilities

• Identify and prioritize high‑impact manual processes for automation across APAC.

• Develop, test, and deploy automation solutions (Python/SQL scripts, ETL jobs, dashboards, or small web tools).

• Document code, runbooks, and perform knowledge transfer to permanent staff.

• Monitor adoption and performance; iterate based on stakeholder feedback.

Qualifications

• Current student or recent graduate in Computer Science, Data Science, Engineering, Statistics, or related field.

• Strong Python and SQL skills; experience with pandas or equivalent.

Preferred

• Familiarity with version control (Git) and basic testing practices.

• Clear communicator and comfortable working in a cross‑functional team.

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.

At Guy Carpenter, you can be your best. We work on challenges that matter with colleagues who help bring out our best. Our uniquely collaborative environment will empower you to focus on your personal and professional success, learning from top specialists in the (re)insurance industry and leading you towards a rewarding and impactful career. 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, disability, ethnic origin, family duties, gender orientation or expression, 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. In the recruitment process, Marsh McLennan does not restrict a position to a particular gender, does not inquire or investigate the marital or maternal status of female candidates, does not impose any limitations on marriage or childbirth, does not use marital or maternal status of a condition for hiring, and does not raise the qualification standard for female candidates. When you apply for a position with us, we must obtain Personal Data, which is any data that can directly or indirectly lead to the identification of a specific individual, such as your name, contact information, employment history, education information, work skills, and licensure and certifications (if applicable). We also collect any other information you have provided in your CV, covering letter, application form, or during an interview (if applicable). Marsh McLennan limits the Personal Data that it collects to that which is relevant and proportionate for the intended purpose. Where necessary and permitted or required by law, we may collect Personal Data deemed sensitive under applicable law (for example, ethnicity, fitness to work or criminal convictions information). Marsh McLennan collects Personal Data directly from you and, depending on the circumstances and the type of role applied for, recruitment agencies, background check providers, your named referees and occupational health providers. Marsh McLennan retains Personal Data consistent with applicable local law and business practices Please make sure you read through and fully understand our “Job Applicant Data Privacy Statement” before you submit your application. 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.