Dinesh Sagayanathan — Associate Partner
With over 10 years of experience in Catastrophe Modeling, I specialize in delivering high-quality insights that support reinsurance, underwriting, and risk management decisions. My expertise spans portfolio roll-up, exposure analysis, and model interpretation, working across a wide spectrum of natural catastrophe perils and geographies. I’m proficient in industry-standard catastrophe modeling tools including Risk Modeler, RiskLink, Risk Manager, ExposureIQ, AIR Touchstone, EQECAT, and IF, enabling me to deliver accurate and timely analysis tailored to both regulatory and business needs. A strong believer in automation and efficiency, I leverage SQL and Python to streamline data processing, enhance analytical workflows, and reduce manual turnaround times in high-volume environments. I thrive in collaborative, fast-paced teams and am always eager to explore evolving tools, methodologies, and best practices in the catastrophe risk space.
Stackforce AI infers this person is a Catastrophe Modeling expert in the Insurance industry.
Location: Mumbai, Maharashtra, India
Experience: 10 yrs 5 mos
Skills
- Catastrophe Modeling
Career Highlights
- Over 10 years of experience in Catastrophe Modeling.
- Proficient in industry-standard catastrophe modeling tools.
- Strong believer in automation and efficiency using SQL and Python.
Work Experience
Marsh McLennan
Senior Manager - Catastrophe Risk Management (10 mos)
Moody's Analytics
Senior Analyst (3 yrs 7 mos)
Aon
IND Analyst (3 yrs)
AIG
Catastrophe Modeling Analyst (3 yrs)
Education
Bachelor of Engineering - BE at New Horizon College of Engineering
Electronics (PCME) at St. Joseph's Pre-University College
CBSE at Lake Montfort School - India