Sr. Analyst - Process Analytics - Claims & Underwriting

JobgetherInsurance and reinsurance

Remote position based in India., Flexible-time shift aligned with India.Full-TimeSenior

Salary not disclosed

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Job Details

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 developing, modifying, and executing SQL scripts.
Familiarity with treaty modeling is preferred.
Strong analytical and problem-solving skills, including investigating data discrepancies and interpreting complex results.
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 motivation to take ownership of assigned responsibilities.
Intermediate English proficiency or higher.
Insurance-related certifications such as AIC, CIC, CLU, CPCU, or other relevant credentials may be advantageous.

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 and interpret RiskLink/RiskModeler results.
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 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 during monthly portfolio roll-up cycles and collaborate with team members to resolve analytical challenges and improve workflows.

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