Job Location: Noida
Analyst – Exposure Data – Analytical & Data Services, Noida
The Analytical & Data Services team provides an integrated suite of data and analytical services and solutions based on RMS’ catastrophe models, that global insurance and reinsurance clients rely on for making decisions on underwriting, portfolio management, capital management and risk transfer. The team works with exposure data of a majority of Fortune 500 corporate accounts, analyzing the quality of data, assessing clients’ exposure to catastrophic events, and providing insights on loss drivers and distributions, using RMS models. Analysts on the team specialize in data interpretation, data analytics, data quality, financial policy structures, and a deep understanding of sophisticated catastrophe models of perils including earthquake, hurricane, and terrorism.
As a Lead Data Analyst, you will be responsible for the quantification of catastrophe risk using a variety of databases and RMS models for a client portfolio. The person will be required to understand client requirements for exposure and loss analytics, configure an analytical solution, and report/ present results from the analysis to underwriting and catastrophe modeling teams at insurance/ reinsurance companies.
Key Accountabilities & Deliverables
- Provide high quality exposure in RMS proprietary software ready format by analyzing the input data and mapping it with appropriate codes.
- Understand the exposure data to prepare the quality output.
- Assess the quality of input data and be able to highlight potential improvements.
- Mentor and train new trainees.
- Assist in allocation of work.
- Query handling with client and internal teams.
Skills:
- Strong analytical and problem-solving abilities
- Candidate should be proficient in MS Excel
- Good working knowledge of SQL will be preferred
- Excellent written and verbal communication
- Team player
- Client focused and solution oriented
Requirements:
- Graduation /Post Graduation in Science/ Commerce/ Statistics from good institutes with consistently good academic record.
- Preferred 3+ years relevant experience in exposure preparation or data services for P&C insurance, reinsurance, or insurance linked securities
About RMS
There’s a 1% chance an earthquake will cause $50 billion of insured loss within the next 12 months and a 5% chance that a hurricane will cause $60 billion of insured losses next year. At RMS, we turn risks into real numbers. How? By building simulation models that allow insurers and investors to understand and manage their global risks-from hurricanes, quakes, and wildfires, to cyberattacks, terror attacks, and pandemics. Why? We want to build a more resilient world, and we’re on a mission to help make every risk known.
Insurers, reinsurers, investors, financial institutions, governments, and NGOs trust RMS solutions to better understand and manage catastrophe risks. RMS was founded in 1989 by Stanford scientists who created our first model for California Earthquake. Today, RMS has some 1,300 employees across 13 offices in the US, London, Bermuda, Zurich, India, China, Japan, Singapore, and Australia, and over 1,000 products and models now covering six continents.
RMS helped pioneer the natural catastrophe model market we now lead – and we continue to innovate. In May 2019, we announced RMS Risk Intelligence™ (RI), an open-standard platform for strategic risk management. Through this purpose-built platform, clients can tap into RMS HD models, rich data layers, intuitive applications and APIs that simply integrate into existing enterprise systems to support business decisions across underwriting, risk selection, mitigation, and portfolio management.
How we understand and manage risk affects everyone and our passion is nothing less than creating a more resilient world through a better understanding of catastrophic events. Join our team of leading scientists, developers, industry experts, and world-class professionals. Together, RMSers make a difference on a truly global scale.
Visit RMS.com to learn more and follow us on LinkedIn and Twitter.
RMS is proud to be an equal opportunity workplace. We are committed to equal employment opportunity without regard to race, color, creed, gender, religion, marital status, registered domestic partner status, age, national origin or ancestry, physical or mental disability, genetic characteristics, sexual orientation, or any other classification protected by applicable local, state, or federal law.
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