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Data Risk Analyst Jobs in Florida (NOW HIRING)

BankUnited

ERM Risk Analyst

Miami Lakes, FL · On-site

The ERM Risk Analyst is a key role that will report to the Director of ERM. The ERM Risk Analyst ... Supports data compilation and entry for Strategic Risk Assessment and Risk Appetite Metrics.

University of Miami

Risk Analyst 2

Miami, FL · On-site

Analyzes complex incident reports and claims using advanced data analysis tools. * Prepares and present reports to leadership and regulatory agencies. * Develops, implements, and monitors risk ...

The University of Miami

Risk Analyst 2

Miami, FL · On-site

Analyzes complex incident reports and claims using advanced data analysis tools. * Prepares and present reports to leadership and regulatory agencies. * Develops, implements, and monitors risk ...

Paysafe

Risk Strategy Data Analyst

Jacksonville, FL · On-site

Risk Strategy Data Analyst The Strategic Risk Data Analyst will be responsible for conceptualizing and developing data-driven risk solutions by applying advanced analytical techniques. This ...

Raymondjames

Risk Analyst, RCS

Saint Petersburg, FL · Hybrid

Collect, analyze, and synthesize data into reports, summaries, and working materials that identify trends, support business requests, and improve risk visibility. * Control environment support:

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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 in the Data Risk Analyst position, and why are they important?

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 typical daily responsibilities of a Data Risk Analyst?

As a Data Risk Analyst, your typical day might involve monitoring data systems for vulnerabilities, conducting risk assessments, analyzing data usage trends, and preparing risk reports for management. You’ll collaborate frequently with IT teams, compliance officers, and business stakeholders to identify potential risks and ensure that risk mitigation strategies are being implemented correctly. Additionally, you may be involved in developing data governance policies and assisting with audits to ensure compliance with industry standards. This role offers a dynamic work environment where adaptability and continuous learning are key.
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Data Risk Analyst jobs near you
Infographic showing various Data Risk Analyst job openings in Florida as of May 2026, with employment types broken down into 84% Full Time, 10% Part Time, and 6% Contract. Highlights an 88% Physical, 1% Hybrid, and 11% Remote job distribution.
Data Modeler (Data Risk Analyst)

Data Modeler (Data Risk Analyst)

Apex Informatics

Ocoee, FL • On-site

Other

Posted 26 days ago

Job description

Title: Data Modeler (Data Risk Analyst)
Location : Florida Turnpike Enterprise HQ, Ocoee, FL (Onsite - 5 Days)
Roles & Responsibility Summary
This role leads the analysis, implementation, execution and on-going enhancements to business rules based on data analytic findings. Collaborates with the finance, technology, and business teams to ensure effective communication and alignment while identifying opportunities to improve controls and reduce risk.
Key Responsibilities:
  • Develop and implement advanced statistical models and machine learning algorithms to solve complex financial problems.
  • Analyze large and complex financial datasets to identify trends, patterns, and opportunities for increased controls and enhanced risk mitigation.
  • Build predictive data models for risk assessment.
  • Forecast, track, and measure key metrics.
  • Collaborating with IT and finance teams to translate data insights into actionable strategies and initiatives to implement.
  • Staying current on financial industry best practices and emerging risk factors.
  • Conducting regular security audits and penetration testing.
  • Analyzing security incidents and implementing corrective actions.

Requirements:
  • Bachelor's degree in mathematics, computer science, engineering, statistics, fintech or related field.
  • Minimum of 5 years of experience in Financial Services, with a strong focus on data intelligence and analysis.
  • Proven expertise in risk assessment, data analysis technologies and tools.
  • Strong analytical and problem-solving skills.
  • Excellent communication and interpersonal skills.
  • Ability to work independently and as part of a team.

Preferred Qualifications:
  • Experience in financial services industry retail banking products
  • Experience in data analysis and financial risk management
  • Knowledge of forensic financial auditing techniques.
  • Proficiency in scripting and programming languages (e.g., Python, Bash, SQL)
  • Understanding of network security, encryption and access control principles.
  • Knowledge of machine learning and data analytics.
  • Relevant certifications such as CDA, CRMA or similar are highly desirable.

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