3-5+ years of experience in industrial data science, statistics, financial modeling or similar
Bachelor’s degree in Statistics, Mathematics, Economics, Computer Science or similar quantitative subject
Strong communication skills and ability to communicate with non-technical audience without an ego
Strong technical understanding of developing models
Even stronger understanding of evaluating statistical soundness of models
Excellent problem-solving skills and the ability to work independently or as part of a team
Eagerness to learn new technologies and adapt to industry trends and changes
Desirables
Inclusive mindset
Innovative
Curious
Diverse perspectives
Problem-solving
Strong communication
Team player
Eager to learn
What the job involves
Develop and maintain statistical & machine learning models supporting improved user experiences in various products and business operational processes
Ability to independently conduct various technical work around the machine learning development process, from conducting sound data analysis through model training and evaluation
Learn to work in project squads adhering to project management best practices and maintain active participation in team ceremonies
Constant problem-identification and problem-solving with business stakeholders, with the ability to communicate and iterate quickly
Ability to conduct work around gathering requirements, communicating results of your work, and advocating for a data-driven scientific mindset
Ability to learn and work with open source data science related languages and frameworks, but also comfortable with various cloud providers such as Databricks, AWS, and GCP
Develop an understanding of the MLOps lifecycle beyond the training process, such as around deployment frameworks, microservice paradigms, serialization methods etc
Some understanding of modeling techniques on non-tabular data such as experience in networks, computer vision, or NLP
Stay current with industry trends, emerging technologies, and regulatory changes to ensure the company remains at the forefront of data engineering best practices in the compliance and AML space
Moody’s helps customers develop a holistic view of risks to advance their business and act decisively, uniting the brightest minds to turn risks into opportunities.