Assc Dir- Analytics & Modeling

Let's begin! Assc Dir
- Analytics & Modeling (13992)

Requisition
13992
-Posted
07/21/2026

- Newark - 7575 Gateway Blvd.

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.

Moody’s External Website Posting Website:

Employer:

Moody’s Analytics, Inc.

Location:

7575 Gateway Boulevard, Suite 300, Newark, CA 94560

Duties:
Build analytical models of economic and insured property exposure from various tabular and spatial data sets. Utilize key skills and technologies such as data manipulation in SQL and Python, automated data acquisition, processing, and visualization. Document analytical methods and results, collect into central documents, and educate internal and external audiences and enable the commercial success of the data products being created.

Research and develop global datasets of marine cargo exposures globally leveraging public and/or open-sources trade flow data, trade flow data modeling, remote sensing data, and simple statistical models. Create valuation models for various types of properties leveraging public and/or open-sources data and economic or statistical models. Research insurance market practices, including penetration rates and prevailing policy terms and conditions in various geographies around the world and various languages.

Requirements:
Requires a Ph.D. or foreign equivalent in Civil Engineering, Industrial Engineering, or a closely related field. Must have academic training or experience statistical modeling, data analysis, data visualization, and programming in SQL, Python or R for data analysis; geospatial data analysis, ArcGIS or QGIS; marine trade flows data analysis, automated data acquisition through API; and understanding extreme events modeling.

For US-based roles only: the anticipated hiring base salary range for this position is $164,403 to $243,700/yr, 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.

For US-based roles only: the anticipated hiring base salary range for this position is $164,403 to $243,700, 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…