Senior Backend Engineer — AI-Powered Risk Analytics

Moody's Investors Service; Northern (KY); Hybrid; USD 140,000 - 203,000; Full time

Job summary

Moody's Investors Service is seeking a highly skilled backend engineer to design and maintain scalable back-end systems powering its insurance analytics platform. You will collaborate with data scientists and ML engineers to translate complex business requirements into robust software solutions.

The role emphasizes architecture, reliability, and end-to-end testing, with opportunities to influence tool choices and adopt responsible AI practices.

Qualifications

• Bachelor's degree in STEM with 7+ years of hands-on industry experience, or
• Master's degree in STEM with 4+ years of hands-on industry experience, or
• PhD in STEM with 2+ years of hands-on industry experience

Responsibilities

• Build and maintain robust, scalable back-end systems that power high-performance insurance analytics applications.
• Design, build, and maintain extensible back-end services and web applications with a focus on architecture, scalability, and reliability.
• Participate in technical design discussions and provide expert input across the back-end technology stack.
• Perform code reviews and technical analysis to ensure code quality, maintainability, and alignment with engineering standards.
• Develop and maintain unit and end-to-end tests to ensure system performance and reliability.
• Collaborate closely with product, data science, and machine learning partners to translate business requirements into technical solutions.
• Evaluate new tools and technologies and provide recommendations to continuously improve the back-end technology stack.
• Own critical components of back-end development, demonstrating strong technical judgment and collaboration skills.

Skills

Python

SQL

AI concepts

Back-end

Problem solving

Communication

GIS

Education

Bachelor's degree in STEM

Master's degree in STEM

PhD in STEM

Job description

Moody's Investors Service is seeking a highly skilled backend engineer to design and maintain scalable back-end systems powering its insurance analytics platform. You will collaborate with data scientists and ML engineers to translate complex business requirements into robust software solutions.

The role emphasizes architecture, reliability, and end-to-end testing, with opportunities to influence tool choices and adopt responsible AI practices.