at Moody's
OtherPosted 8 days ago
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**Senior-Level Coastal Flood Analyst** - **Expert in hônunting complex datasets (UNIX/Linux)** - **Proficient in Python, R, Fortran; AI tools** - **Master or PhD degree in relevant field** - **Experience with numerical models, statistical modeling, and machine learning methods** - **Analyze coastal flooding risks** - **Build/validate storm surge, wave, and coastal defense models** - **Research, implement novel scientific techniques** - **Communicate findings to stakeholders** - **Global Insurance line of business had experience preferred** - **Moody's RMS promotes collaboration and innovation**
- Compensation
- Not specified
- City
- London
- Country
- United Kingdom
Currency: Not specified
Full Job Description
Analytics & Modeling Analyst, Coastal Flood
London, United Kingdom
At Moody's, we unite the brightest minds to turn todays risks into tomorrows opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they arewith the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moodys is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, were advancing AI to move from insight to actionenabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence.
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.
- Experience working with high-performance clusters in a UNIX or Linux environment
- Experience with either numerical models (such as AGCMs, OGCMs, CGCMs, regional models or mesoscale models), handling large data sets, or statistical modelling
- Strong programming ability in scientific and analytical programming languages (e.g. Python, R, Fortran)
- Strong analytical skills and ability to effectively communicate insights to internal and external stakeholders
- Familiarity and interest in state-of-the-art ML methods would be highly advantageous
- Previous experience in catastrophe modeling, or specific expertise in modelling natural hazards is valued but not necessary
- Experience in using GitHub or similar code management software is advantageous
- Demonstrated proficiency in artificial intelligence concepts, with hands-on experience using AI tools to streamline workflows and enhance operational efficiency. Proven ability to implement AI-powered solutions to solve business challenges. Demonstrates a growing awareness of AI risk management and a commitment to responsible and ethical AI use
- PhD in a field related to storm-surge or other aspects of coastal ocean modelling. Strong candidates with a relevant MSc and appropriate research or work experience would also be considered
- Building and developing storm surge, wave and coastal defence model components
- Calibration and validation of model results (both hazard and loss) through comparison to observed data and benchmarks
- Advancement of our models through research and implementation of novel scientific techniques
- Communicating research to clients and other stakeholders
Moodys is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law.
Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moodys 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.
