Assc Dir- Analytics & Modeling

About

Moody's Analytics, Inc. is seeking an Associate Director for Analytics & Modeling to join our team.

Responsibilities

• Conduct theoretical and empirical research to measure credit risk and fixed income valuation for integration into prototypes and software solutions.
• Collect, clean, and analyze large financial and economic datasets; apply statistical, time series, and machine learning methods for risk measurement and regulatory reporting.
• Build, test, and validate financial and statistical models for portfolio valuation, stress testing, and impairment analysis.
• Translate research findings into practical solutions by collaborating with quantitative researchers, data scientists, engineers, and product teams.
• Implement and integrate research methodologies into prototype systems and deploy validated solutions into production software.
• Utilize cloud-based and collaborative platforms, including AWS and GitHub, to support model development, testing, and deployment.
• Assist clients in implementing portfolio and valuation frameworks; provide technical guidance on credit risk, regulatory methodologies, and model applications.
• Prepare and deliver presentations and written reports to internal and external stakeholders on research results, model outputs, and risk metrics.
• Collaborate with product management, software development, client support, and sales teams to align research solutions with business and client needs.
• Maintain and enhance methodologies, models, and software supporting stress testing, impairment modeling, and structured asset portfolio risk assessment.

Requirements

• Master's degree or foreign equivalent in Financial Engineering, Mathematical Finance, or a closely related quantitative field.
• Academic training or experience in mathematical finance, probability theory, stochastic calculus, fixed income valuation, statistics, and time series analysis.
• Experience conducting research in risk management, corporate finance, or asset pricing.
• Proficiency in programming and statistical analysis using R, Python, and SQL.
• Experience working with large financial databases, including Refinitiv, Bloomberg, CRSP, or related.
• Knowledge of machine learning methods and their application to financial and economic data.
• Experience with cloud-based or collaborative platforms, including AWS and GitHub.

Compensation & Benefits

For US-based roles only:

The anticipated hiring base salary range for this position is $126,963 to $230,900/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 but not limited to:

• Medical insurance
• Dental insurance
• Vision insurance
• Parental leave
• Paid time off
• 401(k) plan with employee and company contribution opportunities
• Life insurance
• Disability insurance
• Accident insurance
• Discounted employee stock purchase plan
• Tuition reimbursement