Lead Analyst - Process Analytics - Actuarial 4C - Genpact

Key Responsibilities

• Design, develop, and deploy end‑to‑end analytics solutions that transform raw data into actionable insights for actuarial and process optimization projects.
• Lead cross‑functional teams in the implementation of AI and machine learning models, ensuring alignment with business objectives and regulatory standards.
• Collaborate with stakeholders to define key performance indicators, develop dashboards, and present findings that influence strategic decision‑making.
• Drive continuous improvement of data pipelines, data quality, and model governance practices across large‑scale environments.
• Mentor junior analysts, fostering a culture of analytical rigor and innovative problem solving.

Requirements

• 5+ years of experience in analytics, actuarial science, or related fields with a strong focus on process improvement.
• Proficiency in Python, SQL, and data visualization tools (e.g., Tableau, Power BI).
• Hands‑on experience building and deploying machine learning models in production environments.
• Excellent communication skills, capable of translating complex technical concepts to non‑technical audiences.
• Strong analytical mindset, with a proven track record of delivering data‑driven solutions that impact business outcomes.