Sr. Analyst - Process Analytics - Claims & Underwriting

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Sr. Analyst – Process Analytics – Claims & Underwriting based in India. We are seeking an analytical and detail-oriented professional to support catastrophe risk modeling, portfolio analytics, and treaty-related processes within the insurance and reinsurance sector. In this role, you will work with specialized risk modeling platforms, exposure data, and SQL-based processes to improve portfolio accuracy and strengthen risk management decisions. You will analyze portfolio exposure results, investigate data variations, and generate insights that support effective business outcomes. The position requires strong technical expertise, a proactive approach to problem-solving, and the ability to deliver accurate results under tight deadlines. You will collaborate with colleagues in a fast-paced, data-driven environment, particularly during monthly portfolio roll-up cycles. This is an opportunity to apply advanced analytical skills while contributing to process improvement and more informed risk assessment.

Accountabilities: Understand treaty structures and facultative (FAC) submissions to support accurate portfolio modeling.

Update and model accounts using Moody’s RiskLink/RiskModeler catastrophe modeling platforms.

Apply relevant terms, conditions, treaty information, and other modeling parameters.

Import, validate, and analyze portfolio exposure summaries, interpreting results generated through RiskLink/RiskModeler.

Perform EDM reconciliations to investigate and explain variations in exposure results compared with previous portfolio submissions.

Create, modify, and execute SQL scripts to support daily operational processes and improve execution efficiency.

Analyze client data to generate actionable insights that support risk assessment and portfolio management.

Maintain accuracy and consistency across data processing and modeling activities while meeting time-sensitive deliverables.

Manage competing priorities and workload demands during monthly portfolio roll-up cycles.

Collaborate with team members to resolve analytical challenges, improve workflows, and maintain high standards of delivery.

Requirements

Bachelor’s or master’s degree in Business Analytics, Computer Science, Statistics, Data Science, or a related discipline.

Relevant professional experience in portfolio analytics, catastrophe modeling, or treaty modeling.

Mandatory hands-on experience with Moody’s RiskLink/RiskModeler catastrophe modeling software.

Advanced knowledge of RMS/RiskLink, AIR catastrophe modeling solutions, and associated backend schemas.

Proficiency in Microsoft Excel and SQL, including the ability to develop, modify, and execute SQL scripts.

Familiarity with treaty modeling is preferred.

Strong analytical and problem-solving skills, with the ability to investigate data discrepancies and interpret complex results.

Demonstrated ability to execute tasks quickly and accurately while meeting strict deadlines.

Ability to work effectively under pressure, particularly during recurring monthly portfolio roll-up cycles.

Strong communication skills, a collaborative mindset, and the motivation to take ownership of assigned responsibilities.

Intermediate English proficiency or higher.

Insurance-related certifications, such as Associate in Claims (AIC), Certified Insurance Counselor (CIC), Chartered Life Underwriter (CLU), Chartered Property Casualty Underwriter (CPCU), or other relevant credentials, may be advantageous.

Benefits

Work arrangement: Remote position based in India.

Employment type: Full-time, regular position.

Working hours: Flexible-time shift aligned with India.

Professional development: Opportunities to strengthen technical expertise through hands-on work with catastrophe modeling, portfolio analytics, and data-driven processes.

Learning and career growth: Access to learning opportunities, mentorship, and potential career development in analytics and insurance-related operations.

Collaborative environment: Work with cross-functional teams on complex business challenges and analytical projects.

Compensation and additional benefits: Salary, healthcare coverage, paid leave, bonuses, and other benefits were not specified in the available job description.

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether?    Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.     #LI-CL1