Let's begin! Assistant Director - Analytics & Modeling (11796) bei Moody's Corporation

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

• 4+ years of product development experience using R and/or Python is required to handle terabyte-scale datasets in both stream and batch processing environments.
• Working experience with at least one low-level language such as C, C++, or Rust is necessary for performance-critical computations and system optimization.
• Proficiency with various data storage and serialization formats (e.g., Apache Arrow, Parquet, JSON) and databases (e.g., SQL, RDS) is essential for efficient data handling.
• Working knowledge of HPC concepts like memory access patterns, vectorization, and distributed computing is required to build efficient analytical algorithms.
• Strong skills in problem decomposition, data structures, and algorithms are critical for designing effective solutions to complex modeling challenges.
• Ability to learn and adapt to new technologies quickly is crucial in a collaborative and fast-evolving technical landscape.
• Basic understanding of artificial intelligence concepts, with curiosity and enthusiasm for learning how AI tools - such as Copilot and ChatGPT - can be used to improve processes and drive efficiency.

Education

• Bachelor’s or Master’s degree in Mathematics, Statistics, Physics, Engineering, Data Science, Computer Science, or a related field.

Responsibilities Develop prototypes and software tools to certify and validate complex catastrophe, climate, and cyber models.

• Develop prototypes required to certify natural catastrophe models and the next generation of climate and cyber models.
• Develop software and REST APIs to be used by internal model developers and external clients to understand and validate our models.
• Design and implement methodologies using Map-reduce, machine learning, and computer vision to analyze spatial model data and identify anomalies.
• Collaborate with domain experts across teams to define and implement new methodologies for complex projects and establish best practices.
• Develop algorithms to analyze large volumes of client and model data while optimizing compute resources.
• Work collaboratively across all model development teams to support and communicate the team’s direction and product lifecycle.

About the team Our Model Certification Products team is responsible for the complete prototyping, tooling, and analytics of our global natural catastrophe models. We develop products, prototypes, and auxiliary tools that lead to successful model releases and provide ongoing support. We perform fast analytics to ensure model functionality, correctness, and behavior, which helps complete model development on time. By joining our team, you will be part of exciting work in model development, state-of-the-art model analytics, resource optimization, and cross-team collaboration.
 

For US-based roles only: the anticipated hiring base salary range for this position is $139,900.00 - $202,750.00, 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 [email protected]. 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.