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Data Risk Analyst Jobs in Florida (NOW HIRING)

US Claims Capital LLC

Risk Analyst

Boca Raton, FL · On-site

The ability to analyze data and draw clear, well-supported conclusions; * Strong written ... Completing Risk Evaluation - approximately 20% of the time, after completing firm research, the ...

New

Brown & Brown Insurance

Risk Analyst

Coral Gables, FL

Pulling and analyze claims data to guide renewal discussions * Reviewing accuracy of all policies ... Risk Management, Finance, Accounting and and/or Marketing degree preferred, but not required * 0 to ...

Brown & Brown, Inc.

Risk Analyst

Coral Gables, FL · On-site

Pulling and analyze claims data to guide renewal discussions * Reviewing accuracy of all policies ... Risk Management, Finance, Accounting and and/or Marketing degree preferred, but not required * 0 to ...

SCCU

Sr. Risk Analyst

Melbourne, FL · On-site

$75K/yr

Ability to analyze data and document risks clearly and accurately. * Professional judgement and discretion * Microsoft Office proficiency Education and Training: * Bachelor's degree in Business, Risk ...

SCCU

Sr. Risk Analyst

Melbourne, FL · Hybrid

$75K/yr

Ability to analyze data and document risks clearly and accurately. * Professional judgement and discretion * Microsoft Office proficiency Education and Training: * Bachelor's degree in Business, Risk ...

INTEGRO

Risk Manager / Senior Risk Analyst

Orlando, FL · On-site

$120K - $150K/yr

Risk Manager / Senior Risk Analyst Location: Atlanta, Orlando or Tampa (Hybrid) - Remote ... Pursue external data sources and incorporate into analysis of sales and loss performance. * Analyze ...

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Data Risk Analyst information

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.

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.

Is a data analyst a high salary?

Data analysts typically earn competitive salaries that vary based on experience, location, and industry. Entry-level positions may start lower, but experienced data analysts with skills in SQL, Excel, and data visualization tools can command higher wages, especially in tech and finance sectors.

Is 40 too late for data science?

A Data Risk Analyst can enter data science at any age, as the field values skills like programming, statistics, and domain knowledge. Many professionals transition into data science later in their careers by gaining relevant certifications, such as in Python or machine learning, and building a portfolio of projects. Age is less important than skills, experience, and continuous learning in this field.

Will AI replace a data analyst?

AI is expected to automate routine data processing tasks, but the role of a data analyst involves interpreting complex data, providing insights, and making strategic decisions that require human judgment. Data analysts will increasingly work alongside AI tools, focusing on analysis, storytelling, and decision support rather than manual data handling.

What does a data risk analyst do?

A data risk analyst evaluates and manages risks related to data security, privacy, and compliance within an organization. They analyze data processes, identify vulnerabilities, and implement controls using tools like data governance frameworks and risk assessment methodologies to protect sensitive information.
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:
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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 July 2026, with employment types broken down into 86% Full Time, 9% Part Time, 1% Temporary, and 4% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution.

Data Modeler (Data Risk Analyst)

Apex Informatics

Ocoee, FL • On-site

Other

Re-posted yesterday

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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