Job Description

Imagine what we can DEVELOP with you True leaders are always learning. Moody’s is home to information architects, thinkers, builders, and passionate problem solvers, a collection of diverse viewpoints working together to bring out our best. Join us. Forward Together.

Moody’s (NYSE: MCO) is a global integrated risk assessment firm that empowers organizations to make better decisions. Our data, analytical solutions and insights help decision-makers identify opportunities and manage the risks of doing business with others. We believe that greater transparency, more informed decisions, and fair access to information open the door to shared progress. Moody’s combines international presence with local expertise and over a century of experience in financial markets. Learn more at moodys.com. At Moody’s, we’re taking action. We’re hiring diverse talent and providing underrepresented groups with equitable opportunities in their careers. We’re educating, empowering and elevating our people, and creating a workplace where each person can be their true selves, reach their full potential and thrive on every level. Learn more about our DE&I initiatives, employee development programs and view our annual DE&I Report at moodys.com/diversity
Moody’s Analytics provides financial intelligence and analytical tools supporting our clients’ growth, efficiency and risk management objectives. The combination of our unparalleled expertise in risk, expansive information resources, and innovative application of technology, helps today’s business leaders confidently navigate an evolving marketplace. Department
Data Solutions OU Role/Responsibilities
Data Solutions division is the commercial data business of Moody’s Analytics, bringing together a vast catalogue of data to help business decision-makers assess risks and opportunities. We are best known for Orbis, the world’s most comprehensive database of public and private companies. We are also the definitive source of ratings-related data for companies and securities that have been rated by Moody’s Investors Service. We strive to deliver convenience and insight to our customers by eliminating the hassle of sourcing, preparing, and accessing data, contributing when decisions need to be made. Any analytical activity depends on reliable and accessible data, and we are proud to be an important information resource for decision-makers around the world Roles / Responsibilities
A Programmer Analyst fulfils the following responsibilities with little to moderate mentorship of more senior team members. Take ownership of stories; Implement and test features based on the requirements.
Provide feedback on requirements from a technical perspective and provide estimates for user stories and tasks.
Provide input into technical design, at the story and/or module level.
Align with coding standards.
Experience developing pipelines for ingestion of data from various sources
Collaborate with build and release engineers to prepare packages and address environment issues.
Investigate and find the root cause for software problems reported by clients.
Maintain technical documents
Demonstrate robust debugging, analytical and problem-solving abilities.
Note:- You will write code to run Machine Learning and Data Analysis packages. This code will eventually work its way into production, so we care about efficiency and freedom-from-bugs. You will do you own QA here, both unit and system tests, but report the results to your manager with explanations. You may also be asked to work on end-user front-ends (UI’s). We use react.js.
We plan to use only Python and C/C++ or C#, plus a number of DBMS systems (including text processing systems), and JavaScript. There is no Java, no Ruby, etc. Qualifications
Minimum Bachelor’s degree in Computer Science or related major from top institutions, Master’s degree is a plus.

• Deep understanding of modular design and development.
• 1+ years of professional software development experience on multi-tiered enterprise applications.
• Solid experience in Python, strong knowledge of web-based UI’s (and the corresponding JavaScript principles); some skills in C, C++, or C# are highly desirable as well.
• Experience in using any automation tools is a plus.
• Should be comfortable in both a Linux and a Windows Server environment, plus Windows on the desktop (but UI’s are bowser-based, not native). We do not do mobile (phone or tablet) development. AWS familiarity is a plus.
• Familiarity with DBMS systems: SQL or NoSQL is a necessity.
• Expertise in data science is not needed, but some prior exposure to the concepts of Machine Learning are required. Self-paced on-line courses are acceptable for this requirement.
• Studies in algorithm development would be a plus as well.
• Willingness to learn new technologies, capable of self-directed learning.
• Very good verbal and written communication skills.
• Ability to handle multiple assignments concurrently and independently manage time.
• Ability to work well in a fast-paced team environment; able to work under pressure to meet tight deadlines.
• Superb analytical skills and persistence in problem solving.

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.