Asst Dir - Data Scientist

About the role

Moody's is seeking a hands-on Data Scientist to join our team. The ideal candidate will have experience building, training, and evaluating deep-learning models, as well as the ability to communicate complex modeling work clearly to senior leaders and non-technical stakeholders.

Responsibilities

• Design and deliver innovative analytical solutions, leveraging deep learning and quantitative methods to address complex financial, economic, and operational problems.
• Identify opportunities for automation and model-based decision enhancement, applying neural networks, representation learning, and statistical methods to improve accuracy, efficiency, and performance.
• Collaborate with cross-disciplinary teams to build scalable, cloud-based analytical platforms grounded in clean, well-engineered data.
• Apply deep expertise in statistical, machine learning, and deep-learning methods to develop insights and decision frameworks for internal stakeholders and clients.
• Provide technical leadership, advising business partners on modeling strategy, tradeoffs, and the appropriate role of deep learning in analytical solutions.
• Communicate technical subject matter clearly and concisely, ensuring that insights, limitations, and implications are well understood by diverse audiences.

Requirements

• Ph.D. in Computer Science, Statistics, Applied Mathematics, Economics, Finance, Operations Research, or a related quantitative field; or master’s degree in any of these fields, with 2-3 years of experience in the financial industry.
• Hands-on experience building, training, and evaluating deep-learning models.
• Strong programming skills in Python or R.
• Experience with cloud platforms such as AWS, GCP, or Azure.
• Experience developing and deploying models on large, complex, real-world datasets.
• Ability to own the full model-development lifecycle.
• Research output: publications, conference work, or open-source contributions.

Qualifications

• Experience in one or more deep-learning domains relevant to our work: representation learning for structured financial data, NLP for filings/news/unstructured text, or forecasting for macro and financial time series.

Skills

• Deep expertise in statistical, machine learning, and deep-learning methods.
• Ability to communicate technical subject matter clearly and concisely.

Benefits

Moody’s offers a competitive benefits package, including 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.

Pay

The anticipated hiring base salary range for this position is $116,500 - $212,200, 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.

Schedule

This is a full-time position.