Job Description

Location(s):

7575 Gateway Blvd., Suite 300, Newark, California, 94560, US

Line Of Business: RMS(RMS)

Job Category:

Students & Early Careers

Experience Level: Early Career

At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are—with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways.

If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity.

Skills and Competencies:

2+ years of experience [coursework or independent experience with] in creating quantitative models using large data sets (SQL, R, Python, Matlab, or similar) with a significant geospatial component.Excellent written and verbal communication skills - evidenced by presentations at meetings and conferences - with both technical and non-technical audiences.

Preferred Skills and Competencies:

Demonstrated interest in catastrophe modeling through coursework or research in engineering, earth science, urban planning, or economics.Experience working with analytical models with data from public/official sources (e.g. Census, tax/property data) and/or open-source data (e.g. OpenStreetMap).Familiarity with tabular and spatial data sets commonly used for modeling exposure and risk: population (GPW, GHSL); socioeconomic (World Bank, UNDP); and physical/environmental (MODIS, Nighttime Lights, satellite imagery).Knowledge of building construction practices across countries, with an interest in the social and cultural contexts that guide growth and development.Understanding of property insurance markets around the world, including common practices around policy terms, such as limits, deductibles, and coverage types.

Education:

Working towards M.S. or Ph.D in a field related to science or engineering, including but not limited to: Civil/Structural Engineering, Urban Planning, Geographic Information Systems, Financial Engineering, Statistics, or Computer Science;

Responsibilities:

Researching and developing high-resolution data sets of building stock in various geographies around the world, leveraging public and/or open-source data where available.Creating valuation models for various types of buildings and infrastructure, and integrating these with building stock data sets to develop models of economic exposure.Researching insurance market practices, including penetration rates and prevailing policy terms and conditions, to create exposure data sets specific to the insurance industry.

About the Role:

The Model Development group focuses on developing industry leading stochastic catastrophe models for the quantification and management of catastrophe risk. Within this group, the Exposure Development team focuses on developing data sets of economic and insured property exposures for our natural catastrophe models. Such products are essential not only for the model development process, they also are a key component of the RMS product line and provide a wealth of valuable information for our clients.

The candidate will be working in a multidisciplinary environment with catastrophe risk modelers in other teams and across different time zones (California, London, and India). He or she will be engaged in the full scope of exposure data development, from primary research to implementation to market release and post-adoption client support. The candidate will be expected to gain and further utilize an in-depth knowledge of the RMS products and relevant technologies.

For US-based roles only: the anticipated hiring hourly range for this position is $45 per hour depending on factors such as experience, education, level, skills, and location.

Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, gender, age, religion, national origin, citizen status, marital status, physical or mental disability, military or veteran status, sexual orientation, gender identity, gender expression, genetic information, or any other characteristic protected by law. Moody’s also provides reasonable accommodation to qualified individuals with disabilities or based on a sincerely held religious belief in accordance with applicable laws. If you need to inquire about a reasonable accommodation, or need assistance with completing the application process, please email accommodations@moodys.com This contact information is for accommodation requests only, and cannot be used to inquire about the status of applications.

For San Francisco positions, qualified applicants with criminal histories will be considered for employment consistent with the requirements of the San Francisco Fair Chance Ordinance.

This position may be considered a promotional opportunity, pursuant to the Colorado Equal Pay for Equal Work Act.

Click here to view our full EEO policy statement. Click here for more information on your EEO rights under the law. Click here to view our Pay Transparency Nondiscrimination statement. Click here to view our Notice to New York City Applicants.
Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.

For more information on the Securities Trading Program, please refer to the STP Quick Reference guide on ComplianceNet

Please note: STP categories are assigned by the hiring teams and are subject to change over the course of an employee’s tenure with Moody’s.