Assc Analytics & Model Analyst

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

· Applied experience collecting, processing, and using data to solve a problem or answer a question is required as successful candidates will be drawing upon this skillset in their daily work.

· Possess a working knowledge of a computer programming language (examples include SQL, R/tidyverse, Python, Microsoft Excel, Julia, and Fortran) with an adaptability and willingness to learn new languages/software as required. The team currently primarily uses R/tidyverse and SQL in day to day work, so experience with these is particularly desirable.

· Be driven and committed, demonstrating self-motivation as well as the strong team working and communication skills necessary to collaborate with colleagues in different time zones and on various partner teams.

· Possess critical thinking and problem-solving skills, as well as an attention to detail that will enable candidates to successfully undertake independent project work.

· Be comfortable working independently in a dynamic environment with tasks that sometimes span across multiple concurrent projects.

· Experience with or interest in the following topics is desirable given their relevance to the core work of the team:

o the Re/Insurance business domain/catastrophe modeling.

o Database management/working with relational databases (SQL) .

o Moody’s RMS products (e.g. RiskLink, Risk Modeler, Intelligent Risk Platform).

o Data engineering, data analytics, data science.

o Collaborative code development using version control software (e.g., GitHub).

o Kubernetes.

Education

A Bachelor’s/undergraduate degree is required, preferably in Climate Science, Meteorology, Hydrology, Geophysics, Earth Sciences, Geology, Natural Resources, Geographic Information Systems, Applied Mathematics, Statistics, Engineering or a similar discipline. A Master’s or PhD degree is desirable.

Responsibilities

Work closely with our team and colleagues in Model Development, client facing, and other teams to provide insight into new models, and ensure their readiness for release to clients.

· Work with and learn from senior colleagues to develop knowledge and skills across a broad range of topics:

o Develop a grasp of the fundamental science and methodological philosophies underpinning Moody’s RMS catastrophe models and how they are developed. Learn to apply this knowledge to interpreting model output and communicating key conclusions.

o Become comfortable working with the team’s custom data infrastructure and using it to produce modelling output that effectively communicates key modelling stories.

o Invest time in learning about data cleansing, data analysis/data analytics, programming, tool development, data pipelines, and other skills that will enhance your ability to contribute to the success of the team

· Contribute to the success of Product Acceptance Testing, independently driving forward your own work while also collaborating with colleagues on our team and partner teams to provide insight into new and updated catastrophe models, eliminate potential surprises for our clients, and provide client facing teams with collateral that enables them to successfully support the models for our clients.

· Develop skills that will enable you to successfully present insights from your data analysis work to colleagues within the team and on partner teams.

· Learn about and eventually contribute to other lines of work that the Model Analytics assists the Insurance Solutions team with (e.g. Regulatory work, assisting loss calibration efforts in support of model development, etc)

About the team

Our Model Analytics team is responsible for adding efficiency and insight throughout the model development cycle and increasing the value of the models Moody’s Insurance Solutions brings to market by: eliminating surprises; telling the story of model releases; and sharing our expertise in large scale data pipelining/processing, analytics, and reporting tools.

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.