Actuarial Analyst

Description

Milliman India - Non- Life Actuarial Analyst

We are confident that the experience you gain through this program will provide you with a solid foundation to start your career as well as give you many real-world examples to decide if this is the right career path for you.

Experience and preferred skills

• Strong quantitative aptitude with excellent analytical and problem-solving skills.
• Outstanding academic record with a strong foundation in mathematics, statistics, probability, and actuarial science.
• Strong organizational skills and the ability to manage multiple assignments while meeting tight deadlines.
• Ability to work independently as well as collaboratively in a team-oriented consulting environment.
• Proficiency in Microsoft Excel (including advanced functions), PowerPoint, and Word.
• Working knowledge of one or more programming languages such as R, Python, SQL, SAS, or VBA for data extraction, analysis, automation, and modelling.
• Basic understanding of AI and Generative AI tools, with an interest in applying them responsibly to support data analysis, research, documentation, automation, and actuarial modelling.
• High attention to detail, accuracy, and commitment to maintaining data quality.
• Previous actuarial, insurance, analytics, or related internship experience is desirable but not mandatory.
• Steady Progress towards actuarial qualification (IAI/IFoA or equivalent) is preferred.
  
  

Primary Duties & Responsibilities

This position assumes full time contract as an Actuarial Trainee - Non-Life for a period of 3 months. You will be engaged in:

• Data extraction, validation, and analysis using Excel, SQL, R, Python, SAS, or VBA.
• Supporting general insurance reserving, pricing, and actuarial modelling assignments.
• Assisting with research, experience studies, and regulatory or market analysis.
• Developing and using actuarial models, including Milliman's proprietary tools.
• Preparing client reports, presentations, and other project deliverables.
• Supporting process automation and analytical solutions using programming and AI/GenAI tools.
  
  

Qualifications Required:

• Bachelor's or master's degree student (or recent graduate) pursuing actuarial science, mathematics, or any other major with quantitative course work
• Minimum 3 actuarial exams from IAI or IFoA, UK