Credit Process and Analytics Analyst

MassMutual•Boston, MA

4d•Onsite

About The Position

As a Credit Process and Analytics Analyst, you’ll support the credit risk analytics and allowance workflow supporting the firm’s Allowance for Credit Losses (ACL) across CECL and Available-for-Sale (AFS) portfolios. In partnership with the Head of CECL Credit Analytics, you’ll work on the end-to-end credit risk component of the allowance lifecycle—from model execution through portfolio assessment and qualitative adjustments—ensuring outputs are accurate, well-documented, and aligned to accounting and model governance standards. You’ll partner closely with Finance and Accounting to deliver clear, timely credit insights that support enterprise allowance reporting in a matrixed environment. You’ll join Credit & Investment Risk Management (CIRM), partnering with portfolio management, fundamental credit analysis, Finance/Controllership, Model Risk Management, and data/technology teams. The team combines quantitative modeling expertise with credit judgment to explain allowance movements, identify emerging risks, and support high-quality financial reporting. The culture is analytical, collaborative, and focused on strong governance and documentation.

Requirements

Bachelor’s degree in Actuarial Science, Quantitative Finance, Financial Engineering, Computer Science, Mathematics, Physics, Engineering, or similar quantitative discipline
3+ years of experience in credit risk management, credit analytics, or quantitative risk modeling within the financial services industry.
3+ years of experience working with credit risk fundamentals, portfolio credit quality metrics (PD, LGD, EAD), CECL (ASC 326), or AFS impairment standards.
3+ years of experience analyzing large datasets, interpreting complex model outputs, and synthesizing findings into clear, credit-focused narratives.

Nice To Haves

7+ years of quantitative risk analytics experience.
Master’s or PhD in a quantitative discipline
Experience with public/private credit, structured products, and derivatives.
Familiarity with Moody’s analytics tools and controlled processes.
Experience automating analytics and reporting workflows.
Excellent ability to explain highly technical credit and modeling concepts to non-technical stakeholders, particularly in Finance and Accounting.
Demonstrated ability to apply AI‑assisted tools to improve efficiency, deepen analysis, or generate new insights, with sound judgment

Responsibilities

Execute monthly and quarterly credit loss models for CECL and AFS portfolios, and analyze model outputs, key assumptions, and drivers of change.
Support sensitivity analysis, stress testing, and portfolio reviews to assess the impact of economic conditions and emerging credit risks.
Assist in developing and documenting credit-driven qualitative adjustments to address model limitations and portfolio-specific risks.
Partner with portfolio managers and credit analysts to incorporate credit migration trends, sector developments, and fundamental risk insights.
Perform AFS security reviews to support credit impairment assessments.
Support Finance, Accounting, and Model Risk Management with accurate credit analytics, documentation, and materials for financial reporting and model validation.
Maintain clear documentation of processes, assumptions, and methodologies, and assist with internal and external audit requests.