Jobs and Careers

Credit Risk Analytics Manager-Finance

Miami Lakes, United Statesfull_timeVerifiedPosted 3 Jun 2026

About the role

SUMMARY: Reporting to the Director of ACL, the Credit Risk Analytics Manager is part of a dynamic team of talented professionals whose task is to manage and maintain the credit risk models used to produce the allowance for credit losses (ACL) and other credit risk estimates. The Credit Risk Analytics Manager uses a combination of quantitative, modeling, communication, and technical reporting skills to manage third-party credit risk models and lead rigorous model validations, back testing, monitoring, and governance processes.

ESSENTIAL DUTIES AND RESPONSIBILITIES include the following. Other duties and special projects may be assigned.

SME for Moody's credit risk models CMM, RiskCalc, and MPA, coordinating model releases, inputs, overlays, change logs and stewarding data quality and lineage for production use.
Leads end-to-end validation lifecycle with Model Risk Management, Internal Audit, and external validators: assemble validation packages, respond to findings, track remediation actions, and maintain current model inventory and governance.
Maintains and updates comprehensive model documentation (purpose, data lineage, key assumptions, segmentation, limitations, monitoring thresholds) to meet regulatory/audit expectations
Designs and executes ongoing performance monitoring and back testing, produce concise insights, and recommend remediation/challengers if warranted
Advance/benchmark model usage by leveraging internal and external data to improve accuracy and business utility for CECL, attribution, and risk decomposition
Supports the quarterly CECL production cycle in partnership with the ACL manager
Builds recurring and ad‑hoc dashboards and reports (Tableau, Excel, PowerPoint, Word) for senior and technical audiences.
Partners with Data/Technology on data quality and controls, metadata/lineage, and fit‑for‑purpose datasets supporting validation and CECL activities.
Adheres to and complies with applicable, federal and state laws, regulations and guidance, including those related to anti-money laundering (i.e. Bank Secrecy Act, US PATRIOT Act, etc.).
Adheres to Bank policies and procedures and completes required training.
Identifies and reports suspicious activity.

SUPERVISORY RESPONSIBILITIES

Supervises function, projects or services and/or one or more employees, as applicable.
Carries out supervisory responsibilities in accordance with the organization's policies and applicable laws.
Responsibilities include interviewing, hiring, and training employees; planning, assigning, and directing work; appraising performance coaching; rewarding and disciplining employees; addressing complaints and resolving problems.

EDUCATION

Bachelor's Degree in a quantitative discipline (eg Statistics, Finance, Mathematics, Engineering, Economics) required. Advanced degree in a quantitative discipline (PhD or MSc in a STEM discipline or Economics/Finance) preferred.

EXPERIENCE

5+ years' experience in financial services with significant exposure to credit risk analytics/modeling required
Deep understanding of credit risk concepts (PD, LGD,and EAD) and credit risk models (PD/LGD, Scorecards, among others) required
Demonstrated direct experience of model ownership/monitoring, model development, and/or model validation, including concepts such as backtesting, sensitivity testing, and benchmarking required
Experience with statistical and quantitative modeling techniques is required required
Experience with programming and statistical packages languages, particularly Python, required required
Strong experience building dashboards and structured reporting packages required

CERTIFICATES, LICENSES, REGISTRATIONS

CFA, PRM, FRM a plus.

KNOWLEDGE, SKILLS AND ABILITIES

Excellent communication skills with the ability to analyze and explain findings and remediations.
Working knowledge with model risk management regulatory guidance (SR 11-7, OCC 2011-12, FDIC FIL-22-2017)
Ability to work under pressure, meet deadlines, manage competing initiatives and adapt to an ever-changi