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Credit Risk Analytics Manager Jobs in Pompano Beach, FL

US Claims Capital LLC

Risk Analyst

Boca Raton, FL · On-site

This analysis is used to develop and update law firm risk rankings, which help guide how the Company allocates its time, resources, and relationship management efforts. To be successful in this role ...

USClaims

Risk Analyst

Boca Raton, FL · On-site

This analysis is used to develop and update law firm risk rankings, which help guide how the Company allocates its time, resources, and relationship management efforts. To be successful in this role ...

New

US-Claims-Capital-LL

Risk Analyst

Boca Raton, FL · On-site

$65 - $85/hr

This analysis is used to develop and update law firm risk rankings, which help guide how the Company allocates its time, resources, and relationship management efforts. To be successful in this role ...

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How much do credit risk analytics manager jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for credit risk analytics manager in Pompano Beach, FL is $44.23, according to ZipRecruiter salary data. Most workers in this role earn between $11.11 and $58.08 per hour, depending on experience, location, and employer.

What does a credit risk analytics manager do?

A Credit Risk Analytics Manager is responsible for analyzing and managing the credit risk exposure of a financial institution or organization. They develop and implement risk assessment models, analyze large sets of financial data, and create strategies to minimize potential losses from credit defaults. Their work involves collaborating with other departments, such as lending, underwriting, and compliance, to ensure that the company's credit policies are effective and aligned with regulatory requirements. Additionally, they report on risk trends and provide insights to support business decision-making.

What are the key skills and qualifications needed to thrive as a credit risk analytics manager?

To thrive as a Credit Risk Analytics Manager, you need a strong background in quantitative analysis, risk assessment, and finance, typically supported by a degree in mathematics, statistics, finance, or a related field. Proficiency in statistical software (such as SAS, R, or Python), data visualization tools, and familiarity with regulatory frameworks like Basel III are essential. Strong problem-solving, communication, and leadership skills help you effectively interpret complex data and guide cross-functional teams. These capabilities are crucial to accurately assess credit risk, inform business decisions, and ensure compliance with industry regulations.

How does a credit risk analytics manager typically collaborate with other departments to manage risk effectively?

A Credit Risk Analytics Manager works closely with various teams such as underwriting, finance, IT, and compliance to gather data, implement risk models, and ensure regulatory requirements are met. This collaboration often includes presenting analytical findings to senior management, advising on credit policy adjustments, and supporting product development with risk assessments. Effective communication and teamwork are essential, as the manager translates complex data insights into actionable strategies that align with business goals. Cross-functional collaboration also helps identify potential risks early and ensures the company’s credit strategies are robust and up-to-date.

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Credit Risk Analytics Manager jobs near you

Credit Risk Analytics Analyst

BankUnited

Miami Lakes, FL • On-site

Full-time

Posted 11 days ago

BankUnited rating

8.0

Company rating: 8.0 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

72nd of 174 rated banks

Job description

Hybrid opportunity in Miami Lakes, FL.
SUMMARY: Reporting to the Manager, Enterprise Risk Analytics, the Credit Risk Analytics Analyst is part of the Enterprise Risk Analytics team, a dynamic team of talented professionals whose task is to produce valuable recurring risk reporting and analytics as well as advance the modeling framework to identify and manage financial risk. The Credit Risk Analytics Analyst uses a combination of quantitative, modeling, communication, and technical reporting skills to further advance the various risk analytics initiatives and add value to the organization by enhancing our credit risk modeling, monitoring, and reporting capabilities.
ESSENTIAL DUTIES AND RESPONSIBILITIES include the following. Other duties and special projects may be assigned.
  • Ownership of third-party vendor credit loss models for CRE and C&I. This includes periodic analytical review of model performance and updates, as well as, maintaining internal model documentation consistent with internal and regulatory expectations.
  • Become a leading expert in the Moody's CMM, RiskCalc, MPA, and ZMDesk, and models. This includes periodic review of model performance and updates, as well as, developing a deep knowledge on how the models work.
  • Advance and refine our use of Moody's CMM, RiskCalc, MPA, and ZMDesk models. This includes using Moody's models and leveraging external and internal data to drive improvements in credit risk accuracy and utilizing the outputs to further stress testing, credit risk attribution, credit VaR, sensitivity analysis, and risk decomposition initiatives.
  • Be a leading contributor to the quarterly and annual end-to-end stress testing exercises. Conduct ad-hoc analysis as required. Develop potential stress scenarios that are meaningful to management.
  • Contribute to the integration of risk results into capital planning, budgeting, and risk appetite frameworks.
  • Periodic reporting on financial risks. This includes report generation in a wide variety of formats including but not limited to Tableau dashboards, Microsoft Excel report, PowerPoint presentations and Microsoft Word reports, on a periodic as well as ad-hoc basis.
  • Drive the automation of modeling routines as well as report and dashboard generation in a manner that drives consistency, accuracy and repeatability in credit risk reporting.
  • Contribute to the design and implementation of risk reporting across a variety of media.
  • Work closely with the data and technology teams to improve the data infrastructure needed to support the above initiatives.
  • 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.

EDUCATION
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
  • 2+ years' experience in financial services (banking, asset management, insurance, etc) with significant direct exposure to analytics and modeling applied to credit risk and/or market risk.
  • Experience with programming languages, particularly Python.
  • Experience utilizing and merging data from a variety of databases.
  • Experience with a wide assortment of financial modeling techniques, including but not limited to: credit losses, loss migration, interest rates, volatility, derivatives, VaR, prepayments, capital, forecast techniques, stress testing, scenario analysis, sensitivity analysis, RAROC, liquidity, FTP.
  • Prior experience in credit risk reporting.
  • Prior experience working with databases.
  • Prior experience automating tasks.

CERTIFICATES, LICENSES, REGISTRATIONS
  • CFA, PRM, FRM a plus.

KNOWLEDGE, SKILLS AND ABILITIES
  • Deep understanding of credit risk models (PD, LGD, Credit VaR, etc). This Manager should be able to use this understanding to provide expert insight into the credit risk results they report and enhance the modeling capabilities of the team.
  • Excellent communication skills (visual, verbal, and written) with the ability to articulate complex concepts into a format digestible by a diverse audience.
  • Proficiency in generating reports using Tableau.
  • Proficiency with general quantitative modeling techniques (regression, simulation, optimization).
  • Strong interpersonal skills to aid in working with different divisions within the company.
  • 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.
  • Knowledge of latest modeling developments / trends.

ADDITIONAL INFORMATION
  • Candidates residing in locations within BankUnited's footprint may be given preference.

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