ZipRecruiter

Log In

1

Quantitative Risk Analyst Jobs in Florida (NOW HIRING)

Paysafe

Risk Strategy Data Analyst

Jacksonville, FL · On-site

Risk Strategy Data Analyst The Strategic Risk Data Analyst will be responsible for conceptualizing ... or any other quantitative discipline; Master's degree is a plus. * 3+ years of experience ...

A.I.S., Inc.

Quantitative Ecologist

Miami, FL

$70K - $85K/yr

... and quantitative risk assessment evaluating effects of natural and man-made stressors on marine ... Develop analytical approaches to address complex questions in marine mammal spatial and/or ...

AIS, Inc.

Quantitative Ecologist

Miami, FL · On-site

... and quantitative risk assessment evaluating effects of natural and man-made stressors on marine ... Develop analytical approaches to address complex questions in marine mammal spatial and/or ...

next page

Showing results 1-20

All JobsQuantitative Risk Analyst JobsQuantitative Risk Analyst Jobs in Florida

Quantitative Risk Analyst information

See Florida salary details

$42.2K

$100K

$179.3K

How much do quantitative risk analyst jobs pay per year?

As of Jul 8, 2026, the average yearly pay for quantitative risk analyst in Florida is $100,045.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,300.00 and $108,700.00 per year, depending on experience, location, and employer.

What are some common challenges a Quantitative Risk Analyst faces when integrating new data sources into risk models?

Quantitative Risk Analysts often encounter challenges related to data quality, consistency, and compatibility when integrating new data sources into risk models. Ensuring that the data is accurate, timely, and relevant requires rigorous validation and sometimes complex data cleaning processes. Additionally, analysts must adapt existing risk models to accommodate new variables, which may involve re-calibrating parameters or even restructuring parts of the model. Effective collaboration with IT and data engineering teams is essential to streamline data integration and maintain model reliability.

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

To thrive as a Quantitative Risk Analyst, you need strong analytical and mathematical skills, experience with statistical modeling, and typically a degree in finance, mathematics, statistics, or a related field. Proficiency in programming languages such as Python, R, or MATLAB, and familiarity with risk management systems and financial databases are important technical requirements. Attention to detail, problem-solving abilities, and effective communication are vital soft skills for explaining complex analyses to stakeholders. These skills are crucial for accurately identifying, measuring, and mitigating financial risks in dynamic market environments.

What is the difference between Quantitative Risk Analyst vs Credit Risk Analyst?

AspectQuantitative Risk AnalystCredit Risk Analyst
Required CredentialsDegree in finance, economics, or mathematics; certifications like FRM or CFADegree in finance, economics, or related; certifications like FRM or CFA often preferred
Work EnvironmentFinancial institutions, investment firms, risk management departmentsBanks, lending institutions, credit agencies
Employer & Industry UsageUsed across finance sectors for risk modeling and analysisPrimarily in banking and lending for assessing creditworthiness
Comparison Search IntentUnderstanding differences in risk analysis rolesDistinguishing credit-specific risk roles from broader risk analysis

While both roles involve risk assessment and require similar credentials, a Quantitative Risk Analyst focuses on modeling and analyzing various financial risks using quantitative methods across multiple risk types. In contrast, a Credit Risk Analyst specializes in evaluating creditworthiness and managing credit risk specifically within lending and banking sectors.

What is a Quantitative Risk Analyst?

A Quantitative Risk Analyst is a professional who uses mathematical models, statistical techniques, and data analysis to assess and manage financial risks within an organization. They typically evaluate potential losses from market movements, credit defaults, or operational failures and help develop strategies to mitigate those risks. Their work is crucial in industries such as banking, investment, insurance, and asset management, where understanding and controlling risk is essential for financial stability and compliance. Quantitative Risk Analysts often work with complex financial instruments and large datasets, requiring strong analytical and programming skills.
What are popular job titles related to Quantitative Risk Analyst jobs in Florida? For Quantitative Risk Analyst jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Quantitative Risk Analyst jobs in Florida look for? The top searched job categories for Quantitative Risk Analyst jobs in Florida are:
Quantitative Risk Analyst jobs near you
Infographic showing various Quantitative Risk Analyst job openings in Florida as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 83% Full Time, 9% Part Time, 2% Temporary, and 4% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $100,045 per year, or $48.1 per hour.
Payments Risk Analyst

Payments Risk Analyst

Certegy Payment Solutions, LLC

Clearwater, FL • On-site

Full-time

Re-posted 18 days ago

Job description

Role Overview
At Certegy, we enable secure, efficient payment acceptance by combining traditional and real-time risk controls across check, ACH, and emerging payment rails. Our clients range in size from locally owned small businesses to the largest retailers in America, many of which have relied on us for over fifty years to provide check verification and warranty services.
We are seeking a Payments Risk Analyst to help maintain our expertise in the industry. This role will be responsible for the fraud and risk monitoring of multiple clients, balancing loss mitigation strategies while meeting customer SLAs in a high-volume real-time payments environment. This role requires close collaboration with finance, data science, and product teams, along with the ability to clearly communicate risk insights and performance metrics to both technical and non-technical stakeholders.
Key Responsibilities
  • Analyze transactional data for fraud, returns, and loss trends using exploratory data analysis techniques to identify emerging risks and systemic vulnerabilities.
  • Forecast client risk performance and proactively recommend control adjustments based on transactional trends.
  • Collaborate with data science teams to translate data, trends, and other investigative findings, into model enhancements for real-time decisioning strategies.
  • Design, implement, and maintain risk controls to balance loss reduction with transactional acceptance rates and customer experience.
  • Support incident response and escalation for significant fraud events by performing root cause analysis and coordinating with internal teams to mitigate impact.
  • Evaluate strategy performance by tracking key metrics such as fraud loss rates, acceptance rates, and client-specific risk thresholds.
  • Document risk strategies, findings, and outcomes to support operational consistency, audit readiness, and continuous improvement.
  • Partner directly with clients to review fraud trends, explain risk tradeoffs, and recommend best practices tailored to their business models.
  • Develop and maintain executive-level dashboards to communicate performance, trends, and risk exposure to internal leadership and external partners.

Skills & Qualifications
  • Strong analytical and problem-solving skills with the ability to identify patterns in large-scale transactional data.
  • Advanced proficiency in Microsoft Excel and working knowledge of data visualization tools (Oracle Analytics Cloud, Power BI, Tableau, or similar).
  • Experience applying statistical analysis techniques to fraud detection, loss analysis, and risk optimization.
  • Excellent written and verbal communication skills, with demonstrated ability to present complex risk concepts to clients, senior leadership, and cross-functional partners.
  • Ability to work independently while managing multiple client risk portfolios in a fast-paced, real-time environment.
  • Payments industry experience in ACH, real-time payments (RTP/FedNow), BNPL, checks, or alternative payment methods strongly preferred.
  • Bachelor's degree in Mathematics, Statistics, Finance, Economics, or a related quantitative field.
  • 2-3+ years of experience in payments risk, fraud analytics, or financial analysis.

Work Environment
Onsite - Westlake, Texas or Clearwater, Florida
U.S. work authorization required (no visa sponsorship available)

Apply