Analyst – Actuarial Services

The interview process typically starts with an online aptitude test focusing on quantitative, logical, and verbal abilities, followed by a technical interview that probes statistical concepts, data‑analysis tools, and case‑study scenarios. The final HR round assesses cultural fit, communication skills, and career aspirations. Preparation should include strong fundamentals in statistics, practice of analytical case studies, and clear articulation of problem‑solving approaches.

KPMG Global Services fosters a collaborative and inclusive culture where learning is continuous and mentorship is emphasized. Employees enjoy a balanced work‑life environment with flexible timings and opportunities to work on diverse, high‑impact projects that accelerate professional growth.

Graduate or Post Graduate in Mathematics, Statistics, Actuarial Science, Economics, Engineering (with strong math background) or related fields; Minimum 60% aggregate (or CGPA 6.0/10); No active backlogs; Freshers or up to 1 year of relevant experience; Batch year 2023‑2025 preferred.

Round 1: Online Aptitude Test → Round 2: Technical Interview → Round 3: HR Interview

KPMG Global Services (KGS) is a leading professional services firm that blends deep industry expertise with cutting‑edge technology to help clients navigate complex business challenges. With a strong presence in India, KGS offers a collaborative environment where fresh talent can work alongside seasoned consultants on high‑impact projects across finance, risk, and analytics. The firm is renowned for its commitment to continuous learning, robust mentorship programs, and a culture that encourages innovative thinking. The Analyst – Actuarial Services role is designed for recent graduates who have a solid foundation in mathematics, statistics, and data analysis. As an Analyst, you will be part of the actuarial team that supports insurance, banking, and financial services clients in building predictive models, assessing risk, and delivering actionable insights. This position provides a unique opportunity to apply theoretical knowledge to real‑world problems while gaining exposure to industry‑leading tools and methodologies. Key responsibilities include: 1. Collecting, cleaning, and validating large data sets from multiple sources. 2. Performing statistical analysis and developing predictive models using R, Python, or SAS. 3. Assisting senior actuaries in pricing, reserving, and capital modeling projects. 4. Preparing detailed analytical reports and visualizations for client presentations. 5. Conducting exploratory data analysis to identify trends and anomalies. 6. Supporting the development of automated dashboards using Tableau or Power BI. 7. Collaborating with cross‑functional teams such as finance, underwriting, and IT to ensure data integrity. 8. Keeping abreast of regulatory changes and industry best practices. 9. Participating in knowledge‑sharing sessions and continuous learning initiatives. 10. Contributing to process improvement initiatives within the actuarial practice. The tech stack typically includes Excel, SQL, R, Python, SAS, and data‑visualisation tools like Tableau. Career progression follows a clear path: Analyst → Senior Analyst → Manager → Senior Manager → Director, with regular performance reviews and opportunities for certifications (e.g., SOA, CAS). Joining KGS means working in a supportive environment that values work‑life balance, offers flexible work arrangements, and provides access to world‑class training resources. The firm’s global network opens doors to international assignments and exposure to diverse client portfolios, making it an ideal launchpad for a rewarding actuarial career.