Asst Dir- Analytics&Modeling

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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.

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.

Employer: Moody’s Analytics, Inc.

Title: Asst Dir- Analytics & Modeling

Location: 7 World Trade Center, 250 Greenwich Street, New York, NY 10007 (Principal place of business - telecommuting permitted)

Duties: Develop and apply quantitative modeling and data analytics to conduct complex theoretical and empirical research on measurements of credit risk and fixed income valuation. Conduct research and provide analysis to the firm's prototype implementation and software development activities. Develop credit risk models for public and private companies across the globe. Contribute to the development of industry leading credit risk and valuation models. Partner with clients in measuring and managing risks in their portfolios, as well assist clients and internal marketing and client services teams on the education and

implementation of risk management technology. Collaborate with financial researchers and data analysts on research projects. Present research findings to technical and non-technical audiences internally and externally. Telecommuting Permitted (100% telecommuting position. Will consider applicants resident in the continental U.S.).

Requirements: Must have a Master’s degree or foreign equivalent in Financial Engineering, Data Science, Operations Research, or a closely related quantitative field plus one (1) year of experience as a Data Scientist, Analyst, or in a related position conducting quantitative analysis and performing financial and statistical modeling. Must have experience with the following: performing data analysis and retrieval in SQL and machine learning using one or more software languages such as R, Python, or equivalent scientific computing language; data mining and machine learning with large financial data; AWS; Software Engineering in Applied Mathematics; Full back-end pipeline development & deployment of models; Research into novel AI techniques; and applying knowledge of complex financial models and algorithms to identify and analyze market patterns and trends. Telecommuting Permitted (100% telecommuting position. Will consider applicants resident in the continental U.S.).

For US-based roles only: the anticipated hiring base salary range for this position is $91,270 to $192,300/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.

To apply, please submit resume through careers.moodys.com or via e-mail at hrbox28@moodys.com. Please refer to Job Ref. 9122.

For US-based roles only: the anticipated hiring base salary range for this position is $91,270 - $192,300/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.

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.

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.