Job Description
Location(s):
- Minster Building, 21 Mincing Lane, 2nd Floor, London, EC3R 7AG, GB
Line Of Business: Insurance(INSURANCE)
Job Category:
- ESG Analytics, Data & Research
Experience Level: Experienced Hire
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.
In a world shaped by increasingly interconnected risks, Moody's helps customers develop a holistic view of these risks to advance their business and act decisively. With a rich history of expertise in global markets and a diverse workforce in more than 40 countries, Moody's unites the brightest minds to turn today's risks into tomorrow's opportunities.
We are committed to cultivating a culture where every individual feels a sense of belonging. We strive to create an environment where all employees can safely express their true selves, regardless of their gender identity, sexual orientation, race/ethnicity, age, veteran status, disability, or any other personal characteristic.
We recognize the importance of supporting and understanding each other. Our commitment extends to maintaining a respectful and inclusive workplace with zero tolerance for racism, antisemitism, Islamophobia, sexism, homophobia or any other expression of hate, in any form, for any group or community.
We also believe that everyone should have an equal opportunity to succeed. This dedication extends to growth opportunities for both our employees and our communities.
Return to Work is Moody’s
Are you ready to re-ignite your professional career with a diverse and inclusive team? Moody’s RE-IGNITE is a 16 week paid full-time opportunity designed for people who wish to re-enter the workforce after a minimum two-year hiatus. RE-IGNITE includes opportunities in Canada, India, the US and the UK.
As part of RE-IGNITE, you will join one of our dynamic teams where you’ll benefit from a number of hands-on projects, coaching & mentoring, leadership development, and networking opportunities. This opportunity could lead to a full-time role with Moody’s. Imagine what we can build with you.
Apply to a RE-IGNITE opportunity today.
Testimonial:
RE-IGNITE Alumni: Veena, Know Your Customer
“Moody’s RE-IGNITE was the kind of return-to-work opportunity I was looking for when I felt ready to re-enter the workforce in a full-time capacity. During RE-IGNITE I had the opportunity to work on live projects, strengthen and expand my skill set, learn about different aspects of the business, interact with Moody’s senior management and learn from their experience. RE-IGNITE helped me immensely in easing back into the workforce.”
RE-IGNITE Alumni: Melba, Data Solutions
“RE-IGNITE was a great experience. Not only was it a well-managed and supportive transition back to the workforce, but it was also a great way to learn about the Moody’s culture and ensure a good fit. The broad exposure to diverse people and senior management enhanced our knowledge of all Moody’s lines of business.”
RE-IGNITE Alumni: Joanna, Corporate Finance Group
“RE-IGNITE was a terrific way to not only return to the workforce, but also to learn about Moody’s as a company, its culture, and especially its strong focus on diversity and inclusion.”