Overview
Experience Level: Experienced Hire
Categories:
• Engineering & Technology
Location(s):
• One Canada Square, Canary Wharf, London, E14 5FA, GB
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.
The Role / Responsibilities:
The Know Your Customers (KYC) unit at Moody’s Analytics is dedicated to leveraging data-driven insights and cutting-edge technologies to drive the… compliance and Anti-Money Laundering (AML) industry forward. We are currently seeking a Machine Learning Engineer to join our dynamic and motivated Data Strategy team.
The ideal candidate will have a strong foundation in machine learning concepts such as model development, optimization, and deployment; as well as a passion for working with cutting-edge technologies to ensure robust, scalable, and efficient machine learning solutions are integrated into the business.
Responsibilities
In this role, you will be highly involved in working on cutting edge engineering, Machine learning and GenAI Project work .
You will;
Develop, implement, and deploy models such as machine learning solutions in production environments.
· Collaborate with cross-functional teams to understand business requirements and design scalable and efficient solutions.
· Work with experienced engineers to support design and implementation of software architecture for data-driven solutions, such as quantitative models, machine learning and GenAI.
· Containerize applications using Docker and manage container orchestration with Kubernetes.
· Work with tools such as Databricks, SQL, NoSQL.
· Ensure the scalability, reliability, and performance of the solutions.
· Collaborate with data engineers and data scientists to integrate models into end-to-end data pipelines, services and applications.
Qualifications:
Python experience is essential, alongside having experience in some of the following
• Exposure to machine learning or quantitative models in business environments or your own projects
• Proven experience working on end-to-end data science projects, ideally in a commercial setting
• Exposure to cloud platforms (AWS/GCP/Azure) for infrastructure.
• Exposure to infrastructure as code ( Terraform)
• Technical Documentation
• You will have excellent communication skills, a real passion for learning and the ability to create relationships across the organization
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
Company:
Moody’s Careers
Qualifications:
Language requirements:
Specific requirements:
Educational level:
Level of experience (years):
Senior (5+ years of experience)
