Staff Software Engineer
Cape Analytics
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. Moody’s is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we’re advancing AI to move from insight to action—enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence.
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.
Skills and Competencies
8+ years of hands-on experience in software engineering with advanced proficiency in Python.
Strong knowledge of data science libraries such as Pandas, NumPy, Pydantic.
Expertise in performance tuning of Python code and optimization of financial models for scalability and efficiency.
Solid understanding of mathematical concepts: linear programming, MILP, probability theory, and statistical analysis.
Skilled in working with various database technologies for data storage and retrieval.
Familiarity with caching engines like Redis for high-performance applications.
Practical experience with mathematical solvers like Gurobi and its Python library GurobiPy preferred.
Exposure to LLMs, Gen AI, Agentic AI concepts and frameworks such as LangChain, LangGraph is desirable.
Strong grasp of software engineering best practices for maintainable and reliable development.
Ability to quickly learn and adapt to new technologies and frameworks.
Understanding of financial market principles, especially Structured Finance and Private Credit, is a plus.
Excellent problem-solving, analytical, and communication skills with proven teamwork experience.
Education
Bachelor’s, Master’s, or PhD degree in Computer Science, Information Technology, Mathematics, or a related field is required.
Responsibilities
Design and implement advanced financial models using Python and mathematical solvers like Gurobi.
Establish robust validation mechanisms to ensure model accuracy and data quality.
Collaborate with product teams to translate business requirements into precise technical specifications.
Apply modular and standardized approaches to model development for consistency and auditability.
Optimize algorithms and code for speed and efficiency when processing large financial datasets.
Maintain comprehensive documentation of models, assumptions, and methodologies for transparency.
Diagnose and resolve technical issues promptly, demonstrating strong analytical skills.
Communicate project progress clearly and regularly to stakeholders, ensuring alignment and transparency.
About the Team
Join a dynamic, global cross-functional team within Moody’s Analytics Asset Management business, focused on Structured Finance. Our team develops cutting-edge software, sophisticated models, and advanced analytics to empower leading organizations in making informed investment decisions. We embrace innovation, leverage AI and emerging technologies, and foster a collaborative culture to deliver best-in-class solutions to an international clientele. By joining us, you’ll help clients manage risks and seize opportunities in an evolving financial landscape.
Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, gender, age, religion or creed, national origin, ancestry, citizenship, marital or familial status, sexual orientation, gender identity, gender expression, genetic information, physical or mental disability, military or veteran status, 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.
For more information on the Securities Trading Program, please refer to the STP Quick Reference guide on ComplianceNet
Please note: STP categories are assigned by the hiring teams and are subject to change over the course of an employee’s tenure with Moody’s.