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Data Risk Analyst Jobs in Florida (NOW HIRING)

BankUnited

Credit Risk Analytics Analyst

Miami Lakes, FL · On-site

... Analyst is part of the Enterprise Risk Analytics team, a dynamic team of talented professionals ... This includes using Moody's models and leveraging external and internal data to drive improvements ...

New

Bank of America

Risk Process Analyst

Jacksonville, FL

$65K - $87K/yr

Risk Analytics and Data Analysis * Business Acumen * Critical Thinking and Problem-Solving ... Innovative Thinking * Written and Verbal Communication * Relationship Building and Collaboration

Td

Senior Group Risk Analyst (US)

West Palm Beach, FL · On-site

$72K - $117K/yr

Risk Management The Senior Group Risk Analyst provides a broad range of research, analysis ... Advanced skill in using analytical software tools, data analysis methods and reporting techniques

Axiom Bank

Merchant Risk & Compliance Analyst

Maitland, FL · On-site

$65K - $85K/yr

Strong analytical skills with a data-driven approach to identifying payment anomalies. * Ability to strictly follow established underwriting criteria and risk rating frameworks. Other Duties - Please ...

Axiom Bank

Merchant Risk & Compliance Analyst

Maitland, FL · On-site +1

$65K - $85K/yr

Strong analytical skills with a data-driven approach to identifying payment anomalies. * Ability to strictly follow established underwriting criteria and risk rating frameworks. Other Duties - Please ...

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Data Risk Analyst information

What does a data risk analyst do?

A Data Risk Analyst identifies, assesses, and mitigates risks related to data security, compliance, and integrity. They analyze data flows, detect vulnerabilities, and ensure regulatory requirements are met. Their role involves working with IT, compliance, and business teams to develop risk management strategies. They also monitor data usage, implement security controls, and provide recommendations to minimize potential threats.

What are the key skills and qualifications needed to thrive as a data risk analyst?

To thrive as a Data Risk Analyst, you need strong analytical abilities, knowledge of risk assessment frameworks, proficiency in statistics, and a relevant degree in fields like finance, data science, or information security. Experience with data analytics tools (such as SQL, Python, R), risk management software, and certifications like CRISC or CISA is highly valuable. Strong attention to detail, problem-solving capability, and effective communication skills set outstanding candidates apart. These combined skills are essential for identifying, evaluating, and mitigating risk in data-driven environments, ensuring organizational data integrity and regulatory compliance.

What are the most commonly searched types of Data Risk Analyst jobs in Florida?

The most popular types of Data Risk Analyst jobs in Florida are:

What are popular job titles related to Data Risk Analyst jobs in Florida?

For Data Risk Analyst jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Data Risk Analyst jobs in Florida look for?

The top searched job categories for Data Risk Analyst jobs in Florida are:

Data Risk Analyst jobs near you
Infographic showing various Data Risk Analyst job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Credit Risk Analytics Analyst

BankUnited

Miami Lakes, FL • On-site

Full-time

Posted yesterday

New

BankUnited rating

8.0

Company rating: 8.0 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

71st of 171 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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