[Hiring] Risk & Actuarial AI Expert @Weekday

Role Description

We are seeking a highly analytical and forward-thinking Risk & Actuarial AI Expert to join our growing team. This role sits at the intersection of actuarial science, risk management, and advanced analytics, leveraging artificial intelligence to enhance decision-making across insurance and risk portfolios. The ideal candidate will bring a strong foundation in actuarial principles combined with hands-on experience in data science, enabling the transformation of complex risk data into actionable insights.

Key Responsibilities

• Evaluate and optimize portfolio performance through detailed loss ratio and combined ratio analysis.
• Monitor trends, identify deviations, and provide recommendations to improve underwriting profitability.
• Conduct comprehensive portfolio risk assessments using statistical models and AI-driven techniques.
• Identify risk concentrations, assess diversification, and support strategic decisions related to risk selection and capital allocation.
• Collaborate closely with underwriting, finance, and product teams to ensure alignment between risk appetite and business objectives.
• Focus on catastrophe modeling and exposure management, assessing potential losses from natural disasters and extreme events.
• Enhance traditional modeling approaches using machine learning techniques to improve prediction accuracy and scenario analysis.
• Contribute to stress testing, scenario planning, and regulatory reporting requirements.
• Leverage modern AI/ML techniques to automate actuarial workflows, improve predictive modeling, and uncover hidden patterns in large datasets.
• Design and implement models that enhance pricing, reserving, and risk selection processes.

Qualifications

• Bachelor’s or Master’s degree in Actuarial Science, Mathematics, Statistics, Data Science, or a related field.
• Progress toward actuarial certification (e.g., IFoA, SOA, or equivalent) preferred.
• 2–8 years of experience in actuarial analysis, risk management, or insurance analytics.
• Strong expertise in loss ratio and combined ratio analysis.
• Proven experience in portfolio risk assessment and risk modeling.
• Hands-on experience with catastrophe modeling tools and exposure management frameworks.
• Proficiency in programming (Python/R) and data visualization tools.
• Familiarity with machine learning techniques and their application in insurance.
• Strong problem-solving skills and ability to communicate complex insights to non-technical stakeholders.

What We’re Looking For

We value individuals who combine technical rigor with business intuition. You should be comfortable working in a dynamic environment, handling ambiguity, and driving innovation through data. A proactive mindset, attention to detail, and the ability to translate analytical findings into strategic recommendations will set you apart in this role.

Compensation

• Rs. 6500 per hour (20 hours per week commitment).
• Job Type: Part-time / Contract.
• ₹4,000 - ₹6,500 an hour.

AI Tools in Hiring Process

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.