Job Description

Risk Analyst
Department - Analytical & Data Services team provides an integrated suite of data and analytical services and solutions based on RMS\xe2\x80\x99 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\xe2\x80\x99 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. We are looking for self-driven and independent analysts who are keen to learn about
catastrophe insurance market and bring their own skills, experience and enthusiasm to move the group forward in its mandate to become a truly indispensable service for our clients.

Objective of the Risk Analyst
As a Risk Analyst, the applicant will be highly involved in the manipulation of client\xe2\x80\x99s data and quantification of associated risk using a variety of database tools, analyzing and interpreting
data using RMS technologies and trademark software products as well as working with other RMS departments and directly with clients.

Key Accountabilities & Deliverables

• Demonstrate good understanding of catastrophe modelling after structured training.
• Learn best practices in catastrophe modelling and reflect this in your day-to-day work.
• Perform end-to-end account modelling including exposure preparation and enrichment and/ or Cedant/ Portfolio analysis.
• Participate actively in your project activities and maintain highest standards of quality of work.
• Demonstrate understanding of RMS Products including new products as they are released.
• Demonstrate understanding about the focus markets for RMS and the reasons why clients use the different RMS products and services.
• Contribute towards and compile content for internal or external client reports.
• Perform meticulous project documentation of all aspects of a project,

particularly focusing on the rationale for decisions and exceptions.

• Provide input for process improvements in at least one client project which addresses a prior or foreseeable concern or increases efficiency.
• Support the client in understanding the output of analysis, comparing different model results and explain to the client.

Skills:

• Strong analytical and problem-solving abilities.
• Excellent written and verbal communication.
• Enthusiasm to work in a team.
• Preferred: Good Database and data manipulation skills - working knowledge of

Excel, Access, and SQL; VBA or VB.Net is an added advantage.

• Knowledge of Python and R is desirable.

Requirement:

• E / B. Tech (preferably Civil/Mechanical Engineering) from IIT/NIT or other

reputed universities.

• Master\xe2\x80\x99s in mathematics/ Statistics/ Operations/ Operations Research/

Economics/ Insurance

• 1-2 years of experience risk/ business/ data analytics for P&C insurance,

reinsurance, or insurance linked securities

• Experience in mathematical or statistical application for R&D, model

development or solution design.

• Preferred: Knowledge of insurance and reinsurance market would be added advantage.

About RMS
There\xe2\x80\x99s 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\xe2\x80\x99re 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 1000 products and models now covering six continents.

RMS helped pioneer the natural catastrophe model market we now lead \xe2\x80\x93 and we continue to innovate. In May 2019, we announced RMS Risk Intelligence\xe2\x84\xa2 (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.