Modeler @ NTT Global Networks

Job Description

Looking for a skilled engineer as a modeler to be a part of the model development team that develops probabilistic flood models. S/he should have an in-depth understanding of geoinformatics, and a good understanding of the integration of data and models. S/he should have good problem-solving and communication abilities and adapt to work in a quick-paced and project-oriented environment.

• Responsible for understanding, analyzing & developing GIS & RS data for the development of flood hazard model, loss model, calibration, and validation
• Communication and interaction with colleagues in global offices
• Responsible for research-driven process enhancement initiatives in flood modeling

• Command in one or more of the programming languages: Python, R, FORTRAN, MATLAB
• Linux/Shell scripting for data management
• Experience working with large datasets
• Basic knowledge and interest in the catastrophe risk insurance industry
• Postgraduate in Geoinformatics with 6 years of experience in industry

Moody s 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 catastrophe risk modeling 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 s Analytics in 2021, opening 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

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Keyskills:   equal employment opportunity risk models risk modeling problem solving model development financial markets commercial models process enhancement position management financial institutions r gis rms risk basic trust color python storms trading