Location(s): One Canada Square, Canary Wharf, London, E14 5FA, GB Line Of Business: MIS MGMT(MIS MGMT)
Job Category: Engineering & Technology Experience Level: Experienced Hire
At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities.
We strive 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 may still be a great fit for this role or other open roles.
We seek 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
* Experience in machine learning, with a strong knowledge of algorithms and principles.
* Proven track record of successfully modeling, building, and putting into production machine learning applications.
* Deep understanding of the tools explaining machine learning predictions.
* Expertise in Python and SQL.
* Knowledge of Git and collaboration principles.
* Proven experience in natural language processing.
* Excellent communication and presentation skills, with the ability to explain complex analytical concepts to people from other fields.
* Previous experience in corporate finance or debt markets is preferred.
Education
* Master's degree in data science, computer science, statistics, mathematics, or a related quantitative field.
Responsibilities
* Select and train machine learning models for predictive analytics, sometimes with relatively small and unbalanced datasets.
* Build solutions predicting activities and extracting signals from multiple data sources.
* Design explainability tools understandable by non-data scientists.
* Collaborate with tech teams to create data ingestion pipelines connected to sources spread across different parts of the organization and delivered in varying formats.
* Communicate results to business stakeholders and decision-makers.
* Collaborate with subject matter experts from ratings and research teams to incorporate fundamental expertise into machine learning models.
* Stay current with the latest research and technology developments.
About the team
The Data Scientist will be responsible for developing machine learning solutions for high-profile data science initiatives within the Digital Finance team.
This role will notably focus on designing and training predictive analytics models, crafting signals from unstructured data, and creating high-value-added solutions that convert quantitative predictions into actionable insights for the business.
A successful candidate will demonstrate an excellent knowledge of the various steps of a machine learning project, including modeling and MLOps.
The candidate should also be innovation-minded, result-oriented, autonomous, and able to deliver finished products, sometimes under short deadlines.
The data science team works closely with technology teams, rating and research teams, and other departments.
The candidate should therefore be able to collaborate across multiple divisions and communicate clearly and understandably to business representatives unfamiliar with data science.
The Data Scientist will also strive to meet Moody's values: openness, diversity, inclusivity, respect, and a willingness to learn.
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.
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