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Model Risk Manager Jobs in Miami, FL (NOW HIRING)

Financial Services Manager - Financial Risk Our Deloitte Regulatory, Risk & Forensic team helps ... Knowledge of financial services business models, products, and services * Experience in banking ...

Position: Senior Manager, Risk Department: Risk Management Reports To: Chief Risk Officer ... Participate in the oversight of model governance including the validation of model assumptions and ...

Position: Senior Manager, Risk Department: Risk Management Reports To: Chief Risk Officer ... Participate in the oversight of model governance including the validation of model assumptions and ...

Position: Senior Manager, Risk Department: Risk Management Reports To: Chief Risk Officer ... Participate in the oversight of model governance including the validation of model assumptions and ...

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Model Risk Manager information

See Miami, FL salary details

$49.3K

$106.7K

$162.6K

How much do model risk manager jobs pay per year?

As of May 29, 2026, the average yearly pay for model risk manager in Miami, FL is $106,697.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,100.00 and $123,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Model Risk Manager, and why are they important?

To thrive as a Model Risk Manager, you need a solid background in quantitative finance, statistics, or mathematics, often supported by an advanced degree and experience in model development or validation. Familiarity with programming languages such as Python or R, risk management frameworks, and regulatory requirements like SR 11-7 or ECB guidelines is typically expected. Strong analytical thinking, attention to detail, and effective communication are crucial soft skills for articulating complex model risks to stakeholders. These competencies are vital for ensuring the accuracy, compliance, and reliability of financial models within an organization.

What are some common challenges a Model Risk Manager faces when validating complex financial models?

Model Risk Managers often encounter challenges such as limited or incomplete data, evolving regulatory requirements, and the need to validate highly complex or proprietary models. They must work closely with model developers, quantitative analysts, and compliance teams to ensure all assumptions and methodologies are sound. Staying up to date with industry best practices and maintaining clear documentation are also crucial, as is effectively communicating findings to both technical and non-technical stakeholders.

What does a Model Risk Manager do?

A Model Risk Manager is responsible for identifying, assessing, and mitigating risks associated with financial and analytical models used by an organization. They ensure that models are accurate, reliable, and compliant with regulatory standards by overseeing validation processes and monitoring model performance. Their role often includes collaborating with model developers, conducting independent reviews, and implementing model governance frameworks to minimize potential losses or errors stemming from model misuse or inaccuracies.

What is the difference between Model Risk Manager vs Quantitative Analyst?

AspectModel Risk ManagerQuantitative Analyst
Required CredentialsAdvanced degrees in finance, statistics, or mathematics; certifications like FRM or CFADegree in finance, economics, mathematics, or related fields; often CFA or CQF
Work EnvironmentFocus on risk management teams within financial institutions; regulatory complianceAnalytical roles within trading, investment, or banking divisions; model development
Employer & Industry UsageFinancial institutions, banks, asset managersInvestment firms, hedge funds, banks, financial services

The Model Risk Manager primarily oversees and mitigates risks associated with financial models, ensuring compliance and accuracy. In contrast, Quantitative Analysts develop and implement models to support trading, investment, or risk strategies. While both roles require strong quantitative skills and similar credentials, their focus areas differ—risk management versus model development and analysis.

What are popular job titles related to Model Risk Manager jobs in Miami, FL? For Model Risk Manager jobs in Miami, FL, the most frequently searched job titles are:
What job categories do people searching Model Risk Manager jobs in Miami, FL look for? The top searched job categories for Model Risk Manager jobs in Miami, FL are:
What cities near Miami, FL are hiring for Model Risk Manager jobs? Cities near Miami, FL with the most Model Risk Manager job openings:
Infographic showing various Model Risk Manager job openings in Miami, FL as of May 2026, with employment types broken down into 1% As Needed, 94% Full Time, 4% Part Time, and 1% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $106,697 per year, or $51.3 per hour.
Credit Risk Analytics Manager-Finance

Credit Risk Analytics Manager-Finance

BankUnited

Hialeah Gardens, FL

Full-time

Posted 3 days ago


Job description

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-changing work pace with a focus on accuracy and attention to detail.
  • Strong interpersonal skills to aid in working with different divisions within the company
ADDITIONAL INFORMATION
  • Candidates residing in locations within BankUnited's footprint may be given preference.