Data Engineer

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.

Role and responsibilities
Within the Digital Finance team, the Manager - Data Science will be responsible for
developing machine learning solutions for high-profile data science initiatives. The
Manager - Data Science will notably focus on designing and training predictive analytics
models, crafting signals from unstructured data and creating high-value-added solutions
converting 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, data engineering, 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 will work 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 Manager - Data Science will be a mentor
of junior team members and participate actively to their growth.
The Manager - Data Science will also strive to meet Moody’s values: openness, diversity,
inclusivity, respect, and a willingness to learn.
The duties of the Manager - Data Science include:
* 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.
* Support tech teams in developing MLOps solutions and putting models in
production.
* Evaluate and select the best tools and IT architectures with tech teams.
* Support tech teams in the management of cloud resources.
* 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.
* Mentor team members without data science backgrounds, as required, and foster a
culture of knowledge sharing and learning.
* Stay current with the latest research and technology developments.
* Speak at internal and external events, as required
Qualifications
* Master’s degree or Ph.D. in data science, computer science, statistics,
mathematics, or a related quantitative field.
* 3+ years in machine learning, with a strong knowledge of algorithms and principles.
* Proven track record of successfully modeling, building, and putting in production
machine learning applications.
* Deep understanding of the tools explaining machine learning predictions.
* Expertise in Python and SQL.
* Previous experience with Spark is a plus.
* Strong knowledge of Git and collaboration principles, ability to review pull requests.
* 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.

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.