Quantitative Analyst - Parametric Insurance

Location: Ahmedabad, Gujarat (Full time office-based role)

Experience: 0-1 years in relevant domain

Educational Qualification: Bachelor’s or Master’s degree in Actuarial Science, Statistics, Economics Mathematics, Data Science, Computer Science, Engineering or any other quantitative fields

Engagement Modality: Selected candidates shall be onboarded for a paid internship for a period of up to 3 months. Candidates showcasing exemplary skills during internship period will be absorbed for the full-time role.

Company Overview

InRisk Labs, India’s leading Climate Insurtech, focuses on developing climate risk and research-driven insurance products. Our solutions cover sectors such as agriculture and allied sectors, disaster risk mitigation, non-damage business interruption (NDBI), loss of livelihood, and renewable energy. Leveraging data-driven insights and advanced technology, we create insurance products that enhance resilience against climate risks.

About the Role

We are seeking highly skilled and motivated Quantitative Analysts to play a pivotal role in the development, pricing, and implementation of innovative parametric insurance products. This position focuses on leveraging statistical modeling, climate science, and insurance concepts to address climate and disaster risks. The ideal candidate brings a strong analytical mindset, an aptitude for problem-solving, and a passion for creating impactful solutions for climate resilience.

Key Responsibilities

• Develop advanced quantitative models to determine pricing and underwriting strategies for parametric insurance products.
• Analyse climate and disaster risk data to assess exposure and inform product design.
• Collaborate with product managers and engineers to design innovative insurance solutions.
• Assist in defining payout triggers and thresholds for parametric insurance products.
• Support claims monitoring processes, ensuring triggers are objectively assessed and payouts are accurate.
• Evaluate product performance using statistical and analytical methods, providing recommendations for optimization.
• Work with data scientists to analyse weather and disaster datasets for risk assessment.
• Generate insights for market research, customer needs, and competitive positioning.
• Ensure compliance with regulatory requirements, collaborating with legal and compliance teams.
• Prepare reports and visualizations for internal and external stakeholders to communicate risk assessments and product performance.

Must-Have Skills

• Ability to code in Python for data analysis, advanced statistical modelling, and automation of pricing/monitoring workflows.
• Functional understanding of insurance fundamentals.
• Strong quantitative aptitude - comfort with statistics, probability, and numerical reasoning
• Good problem-solving skills and ability to learn quickly in a fast-moving, cross-functional environment.
• Clear communication skills - ability to translate technical outputs into structured insights for internal and external stakeholders.

How to Apply

Interested candidates are requested to apply through the online application form at https://forms.gle/bPTb6pNVjkvAzvpC6

Why Join InRisk Labs?

At InRisk Labs, you will work in a fast-paced, collaborative environment where innovation is key to impactful solutions. You will be part of a dynamic and mission-driven organization working at the intersection of data analytics, climate risk, and product innovation. You will help design and price next-generation insurance solutions that respond to real-world climate and disaster events. You’ll get hands-on exposure to large-scale weather/disaster datasets, trigger calibration, product performance evaluation, and regulatory-aligned pricing approaches, while collaborating closely with data scientists, engineers, and product teams.