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Quantitative Risk Jobs in Florida (NOW HIRING)

USAA

Senior Analyst, Credit Risk Strategy

Tampa, FL · On-site

Credit Risk Analyst Seniors use quantitative methods to identify credit risk, develop and deliver credit strategies, and monitor credit performance for consumer credit portfolios to optimize ...

Raymondjames

Treasury Risk Analyst

Saint Petersburg, FL · On-site

Produces key Treasury Risk and Chief Risk Officer reporting and performs analysis of stress testing ... Strong analytical and critical thinking skills, with the ability to evaluate quantitative output ...

HNTB

Construction Scheduler III

Miami, FL · On-site

Performs schedule risk analysis, including quantitative risk analysis. * Performs schedule analysis to include critical activities, risk areas, key milestones and significant changes to schedule.

HNTB Corporation

Construction Scheduler III

Miami, FL · On-site

Performs schedule risk analysis, including quantitative risk analysis. * Performs schedule analysis to include critical activities, risk areas, key milestones and significant changes to schedule.

3M HEALTHCARE

Director, Risk Management

Clearwater, FL · On-site

$135 - $165/hr

In addition, the position will focus on privacy risk and help ensure that the Company takes ... through quantitative and qualitative reports. Salary Salary: $150,000 (offers will vary ...

Td

Risk Manager I (US)

Jacksonville, FL · On-site

$91K - $136K/yr

Creates reports on the results of implemented strategies, using all appropriate quantitative methods and MIS, and makes recommendations to increase efficiencies and revenue while managing credit risk ...

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All JobsQuantitative Risk JobsQuantitative Risk Jobs in Florida

Quantitative Risk information

See Florida salary details

$23.2K

$67.7K

$109.1K

How much do quantitative risk jobs pay per year?

As of Aug 21, 2026, the average yearly pay for quantitative risk in Florida is $67,689.00, according to ZipRecruiter salary data. Most workers in this role earn between $26,200.00 and $88,900.00 per year, depending on experience, location, and employer.

What is a quantitative risk analyst?

A Quantitative Risk Analyst is a finance professional who uses mathematical models and statistical techniques to assess and manage financial risks for organizations, particularly in banking, investment, and insurance sectors. They analyze data, develop risk models, and help companies make informed decisions to minimize potential losses. Their work involves programming, data analysis, and communicating complex risk scenarios to stakeholders. Quantitative Risk Analysts play a crucial role in ensuring that organizations remain financially stable and compliant with regulatory requirements.

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 skills, expertise in statistics and mathematics, and a relevant degree such as finance, mathematics, or engineering. Familiarity with statistical software (such as R, Python, or SAS), risk modeling tools, and industry certifications like FRM or CFA is highly valued. Excellent problem-solving abilities, attention to detail, and effective communication skills help you interpret complex data and convey insights to stakeholders. These competencies are crucial for accurately assessing risk, supporting strategic decisions, and ensuring the financial stability of organizations.

How do quantitative risk professionals typically collaborate with other departments within a financial institution?

Quantitative Risk professionals frequently work with various teams such as trading, portfolio management, compliance, and IT. This collaboration helps ensure that risk models accurately reflect real-world exposures and regulatory standards. Effective communication is key, as Quantitative Risk staff must translate complex data and models into actionable insights for non-technical stakeholders. Regular cross-departmental meetings and project-based collaborations are common, promoting a dynamic and integrated work environment.

What is the difference between Quantitative Risk vs Quantitative Analyst?

AspectQuantitative RiskQuantitative Analyst
Primary FocusAssessing and managing financial risks using quantitative methodsDeveloping models and strategies to analyze financial data and inform investment decisions
Required CredentialsOften requires risk management certifications (FRM, PRM), advanced degrees in finance, mathematics, or statisticsTypically requires degrees in finance, economics, mathematics, or related fields; certifications like CFA may be common
Work EnvironmentFinancial institutions, risk management departments, banksInvestment firms, hedge funds, banks, financial services companies

Quantitative Risk professionals focus on identifying and mitigating financial risks through specialized models, while Quantitative Analysts develop analytical models to support trading, investment, and financial decision-making. Both roles require strong quantitative skills and often similar educational backgrounds, but their core objectives differ: risk management versus financial analysis and strategy development.

How hard is it to become a quantitative risk?

Becoming a quantitative risk professional typically requires a strong background in mathematics, statistics, or finance, often supported by a relevant degree such as a master's or Ph.D. in a quantitative field. Developing skills in programming languages like Python or R and understanding financial models are also important, and obtaining certifications such as FRM or CFA can enhance job prospects. The role demands analytical ability, attention to detail, and the capacity to work with complex data sets, making it a challenging but attainable career path for those with the right skills and education.

How much do quantitative risk analysts make?

Quantitative risk analysts typically earn a median annual salary of around $80,000 to $120,000, depending on experience, education, and location. Senior analysts or those in high-demand financial centers can earn over $150,000, often supplemented by bonuses and benefits. Strong skills in statistics, programming, and risk modeling tools are essential for higher compensation.

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

The most popular types of Quantitative Risk jobs in Florida are:

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

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

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

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

Quantitative Risk jobs near you
Infographic showing various Quantitative Risk job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $67,689 per year, or $32.5 per hour.

Payments Risk Analyst

Certegy Payment Solutions, LLC

Clearwater, FL • On-site

Full-time

Re-posted 2 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)

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