Analytics & Modeling Analyst

3 weeks ago

London, United Kingdom Moody’s Corporation Full time

Experience Level: Experienced Hire

Categories:

  • ESG Analytics, Data & Research

Location(s):

  • Minster Building, 21 Mincing Lane, 2nd Floor, London, EC3R 7AG, GB

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.

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.

Overview

Moody’s RMS is the world's leading provider of mathematical models and information related to the financial impact of natural catastrophes. Our Model Development department has over fifty Ph.D. scientists and engineers based in London, building mathematical models that predict the distributions of possible damage arising from tropical storms, extra-tropical storms, thunderstorms, storm-surges, and freshwater floods.

We use a combination of observations, reanalysis data, numerical, statistical and engineering models. We are the pioneers in the development and application of combined statistical and numerical modelling methods for the quantification of natural hazard risk, and our models are the most detailed and comprehensive models of natural catastrophes produced anywhere in the world. Our clients include several hundred insurance and reinsurance companies as well as brokers, banks, asset managers, hedge funds, regional and local governments, and multilateral agencies.

Objective of the Role

Moody’s RMS are currently recruiting for a position related to the modelling of risk due under Climate Change.

The modelling work carried out by the team encompasses all steps from climate science R&D, mathematical modelling and data science, to the quantification of impacts for portfolios of subjects of climate risk. The model development department has an engaged working environment with a clear and motivated scientific and technological culture.

Key Responsibilities & Deliverables:

The successful candidate will develop methodologies and integrate understandings into Moody’s RMS’ climate risk models pertaining to climate change. S/he will work closely with other hazard, vulnerability, exposure, and financial modelers to ensure the accuracy, efficiency and appropriateness of the final modelling products. S/he will work within a team dedicated to development of modelling products related to climate change and variability.

Requirements:

The ideal candidate’s qualities, skills and attributes follow:

  • PhD in a relevant subject (e.g. Climate / Atmospheric Sciences, Applied Mathematics, Statistics, Hydrology, Physics, Engineering, Computer Science and related).
  • Strong statistical and mathematical foundation
  • Sound understanding of physical principles (ideally related to Climate)
  • Undergraduate training in highly numerate fields is required (Physics, Applied Mathematics, Statistics, Engineering and similar)
  • Demonstrated ability to manage priorities and deadlines and to work independently in a highly dynamic and diverse environment with multiple concurrent goals and with a diverse team of scientists and engineers.
  • Experience working with large and complex datasets.
  • Strong ability in modelling languages (e.g. R, Python), and modern systems of scientific repeatability and engineering scalability (e.g. GitHub).
  • Experience with high-performance clusters and strong user skill in a Linux/Unix environment.
  • Ability to effectively communicate insights and analyses.

Advantageous:

  • Relevant experience in the financial sector especially for climate change analytics.
  • Peer-reviewed scientific publications with strong technical focus.
  • Experience working with numerical models for simulating the earth’s Atmosphere and Ocean system
  • Experience communicating complex scientific and risk modelling concepts to external stakeholders (in a commercial setting).
  • Postdoctoral research experience.
  • Experience with a variety of mathematical modelling techniques including statistical models (e.g. GLMs), ML and AI

Moody’s 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 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. #J-18808-Ljbffr

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