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Let's begin! Staff Software Engineer (13637)
This a Full Remote job, the offer is available from: United States
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
- Expertise in object-oriented languages: Proficiency in of C#, C++, or Java is required. This expertise ensures that the candidate can effectively develop and maintain high-performance risk analytics services, engines, and software infrastructure.
- Strong skills in analytic computing and algorithms: A passion for finding and solving hard problems is essential. This ability ensures that the candidate can handle complex data processing tasks and provide innovative solutions.
- Excellent communication skills: Necessary for conveying complex ideas clearly and concisely. Strong communication skills ensure that the candidate can articulate their vision and collaborate with cross-functional teams.
- Experience in distributed or parallel computing: Familiarity with relational and big data technologies, batching systems, and highly distributed cloud systems is desired. This experience is necessary for developing scalable and efficient software solutions.
- Strong mathematical background: Including statistics and numerical analysis. This knowledge is essential for performing detailed analyses and developing sophisticated computational techniques.
- Familiarity with probabilistic and stochastic computational techniques: Ensures that the candidate can effectively resolve problems commonly encountered in the implementation of risk analysis models.
- Experience with cloud systems: Past experience with cloud data access and computing is necessary for developing and maintaining cloud-based SaaS solutions.
- Agile development: Desired experience ensuring that the candidate can handle multiple initiatives simultaneously and deliver results within deadlines.
- Developing complex software systems: A proven track record of successfully delivering software systems to customers is highly desired, demonstrating the candidate's ability to manage product development from concept to delivery.
- Ability to mentor: The demonstrated ability to mentor and guide junior engineers in all aspects of their engineering duties is essential for fostering a collaborative and productive team environment.
- Communicating with users, engineering teams, and management: The experience is necessary for successfully collecting requirements, describing software product features, and providing technical designs.
Education/Experience
- Bachelor's or Master's in Computer Science or related engineering or scientific fields with 8+ years of industry experience, or Ph.D. with 5 years of industry experience.
Responsibilities
In the Model Platform team, you will work on platform and engines that use large-scale distributed data processing technology to deliver scalable, elastic, cloud-based SaaS solutions for detailed risk analyses.
- Design, develop, and maintain: Engage in all aspects of high-performance risk analytics services, engines, and software infrastructure using C#.
- Development planning: Translate design inputs into development tasks and provide effort estimates for deliverables.
- Document: Create software technical specifications and implementation documents.
- Collaborate with cross-functional teams: Work with fellow engineers, product/project managers, and quality assurance engineers to develop multi-tier, multi-layered application frameworks and functional components.
- Communicate effectively: Convey complex ideas clearly and concisely to all stakeholders.
- Independent: The role requires autonomy and the ability to make technical decisions independently while collaborating with cross-functional teams.
About the team
Model Platform team, part of Moody’s Intelligent Risk Platform™ (IRP), provides platform for execution of massively parallel computations utilizing AWS Cloud infrastructure. IRP is the first risk platform for industries affected by the uncertainty of natural and man-made catastrophes including climate change risk. Our team supports submission and all aspects of efficient execution of risk models on client portfolios. Join us to help define and implement tasks to enhance products running on IRP and improve the quality of our model-platform.
For US-based roles only: the anticipated hiring base salary range for this position is $140,200.00 - $243,700.00, depending on factors such as experience, education, level, skills, and location. This range is based on a full-time position. In addition to base salary, this role is eligible for incentive compensation. Moody’s also offers a competitive benefits package, including not but limited to medical, dental, vision, parental leave, paid time off, a 401(k) plan with employee and company contribution opportunities, life, disability, and accident insurance, a discounted employee stock purchase plan, and tuition reimbursement.
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. Moody’s also provides reasonable accommodation to qualified individuals with disabilities or based on a sincerely held religious belief in accordance with applicable laws. If you need to inquire about a reasonable accommodation, or need assistance with completing the application process, please email accommodations@moodys.com. This contact information is for accommodation requests only, and cannot be used to inquire about the status of applications
For San Francisco positions, qualified applicants with criminal histories will be considered for employment consistent with the requirements of the San Francisco Fair Chance Ordinance.
This position may be considered a promotional opportunity, pursuant to the Colorado Equal Pay for Equal Work Act.
Click here to view our full EEO policy statement. Click here for more information on your EEO rights under the law. Click here to view our Pay Transparency Nondiscrimination statement. Click here to view our Notice to New York City Applicants.
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.
