Analyst Exposure Data

Year    India, India

Job Description


Analyst \xe2\x80\x93 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\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.

As an 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, A Moody\xe2\x80\x99s Analytics Company

Risk Management Solutions, Inc. (RMS) models and solutions help insurers, financial markets, corporations, and public agencies evaluate and manage global risk throughout the world. RMS has some 1,300 employees across 13 offices in the US, London, Bermuda, Zurich, India, China, Japan, Singapore, and Australia, with products and models covering six continents.

We lead an industry that we helped to pioneer\xe2\x80\x94catastrophe risk modeling \xe2\x80\x93 and continue to innovate. RMS was founded in 1989 by Stanford scientists who created our first model for California Earthquake. Today Insurers, reinsurers, trading companies, and other financial institutions trust RMS solutions to better understand and manage the risks of natural and human-made catastrophes, including hurricanes, earthquakes, floods, terrorism, and pandemics.

We got acquired by Moody\xe2\x80\x99s Analytics in 2021, opening up fascinating new opportunities to expand our models, data, technology and services to industries beyond Insurance to help the world better manage its risks.

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.

Risk Management Solutions

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Job Detail

  • Job Id
    JD3122718
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    India, India
  • Education
    Not mentioned
  • Experience
    Year