Sr. Analyst - Process Analytics - Claims & Underwriting

Jobgether; India; Remote; INR 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Remote position based in India

Full-time role

Job summary

Jobgether is seeking a Sr. Analyst – Process Analytics – Claims & Underwriting to be based in India.

The role focuses on catastrophe risk modeling, portfolio analytics, and treaty-related processes using Moody’s RiskLink/RiskModeler, with heavy SQL work and data-driven decision support. You will analyze portfolio exposure, validate data, perform reconciliations, and generate insights to strengthen risk management and portfolio accuracy, collaborating in a fast-paced environment with monthly

Qualifications

• Bachelor’s or master’s degree in Business Analytics, CS, Statistics, Data Science, or a related discipline.
• Experience in portfolio analytics, catastrophe modeling, or treaty modeling.
• Hands-on experience with Moody’s RiskLink/RiskModeler catastrophe modeling software.
• Advanced knowledge of RMS/RiskLink, AIR catastrophe modeling solutions, and backend schemas.
• Proficiency in Microsoft Excel and SQL; ability to develop/modify/execute SQL scripts.
• Strong analytical and problem-solving skills; ability to investigate data discrepancies.

Responsibilities

• Understand treaty structures and FAC submissions for accurate portfolio modeling.
• Model accounts using Moody’s RiskLink/RiskModeler platforms.
• Apply treaty information and modeling parameters.
• Import, validate, and analyze portfolio exposure summaries.
• Perform EDM reconciliations to explain exposure variations.
• Create/modify/execute SQL scripts for daily processes.
• Analyze client data to generate actionable risk insights.
• Maintain accuracy across data processing and modeling while meeting deadlines.
• Collaborate to resolve analytical challenges and improve workflows.

Skills

SQL

Microsoft Excel

Analytical thinking

Problem solving

Communication

Education

Bachelor’s or Master’s degree in Business Analytics

Statistics or Data Science related

Tools

Moody’s RiskLink

RiskModeler

RMS/RiskLink

AIR catastrophe modeling

Job description

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.