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Quantitative Risk Analyst Jobs in Florida (NOW HIRING)

... data analysis/design, risk management and application development. Research Engineers will gain ... Partner with the Quantitative Research team to define priorities and deliver custom software ...

... Risk Management and Compliance, you will design, implement, and oversee a comprehensive control framework tailored to the unique risks in quantitative modeling and analytics. You will partner with ...

... Risk Management and Compliance, you will design, implement, and oversee a comprehensive control framework tailored to the unique risks in quantitative modeling and analytics. You will partner with ...

... Risk Management and Compliance, you will design, implement, and oversee a comprehensive control framework tailored to the unique risks in quantitative modeling and analytics. You will partner with ...

Additionally, the Senior Fraud Analysts will help develop new fraud risk reporting utilizing ... Excellent analytical and quantitative skills, including root cause and trend analysis * Ability to ...

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How much do quantitative risk analyst jobs pay per year?

As of Jun 18, 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:
Quantitative Analyst (Hybrid-Miami Lakes)

Quantitative Analyst (Hybrid-Miami Lakes)

BankUnited

Miami Lakes, FL โ€ข On-site

Full-time

Posted 17 days ago


Job description

SUMMARY: Reporting to the Allowance for Credit Losses Manager, the Analyst will be part of a dynamic team of talented professionals whose task is to manage and maintain the credit risk models used to identify and manage credit risk, provide insight into the drivers of expected loss, and to produce the allowance for credit losses estimate (ACL). The Analyst uses a combination of quantitative, modeling, project coordination, communication, and technical reporting skills to produce the ACL estimate and model performance monitoring and add value to the organization by enhancing our credit risk modeling and losses estimation, monitoring, and reporting capabilities.
ESSENTIAL DUTIES AND RESPONSIBILITIES include the following. Other duties and special projects may be assigned.
  • Assist with the Credit Risk model Ownership and become an experienced user of third-party vendor credit loss models for CRE, C&I, and Residential loans. This includes periodic analytical review of model performance and updates, as well as, maintaining internal model documentation consistent with internal and regulatory expectations.
  • Advance and refine our use of Moody's CMM, RiskCalc, and MPA 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 backtesting, credit risk attribution, and reserving initiatives.
  • Run and execute credit models to produce estimates and behaviors of credit risk (PD & LGD) for purposes of ACL estimation, business plan forecasting and other needs.
  • Develop proficiency in third-party vendor reserve calculation engine (Evolv), including in- depth knowledge of calculation logic and business rules. Perform periodic calculation runs, testing/debugging and report building.
  • Compile quarterly ACL documentation for executive management and internal and external auditor consumption, including methodology and quarterly results memo documents.
  • Compile and present quarterly current economic assessment package for review and challenge by the Economic Forecast Committee.
  • Conduct interactive discussions with credit model experts, data scientists, accounting, credit and other key stakeholders to refine and improve ACL estimation and credit model performance efforts and other initiatives.
  • Work closely with both internal and external auditors to assist in understanding of ACL methodology, credit model assumptions, quarterly results, data ETL process and ASC 326-20 (CECL) application.
  • Present quarterly results and other ad-hoc decisions to executive management and other key stakeholders for challenge and review.
  • Periodic reporting on ACL and models performance. 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 reporting.
  • 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
EXPERIENCE
  • 1+ years' experience in financial services (banking, asset management, insurance, etc) with some direct exposure to analytics and/or modeling applied to finance and risk
  • Experience in using MS Office products, particularly Excel, Word, and PowerPoint required
  • Experience in creating and generating reports using Tableau preferred
  • Experience with programming languages, particularly Python preferred
  • Experience with general statistical and quantitative modeling techniques required
  • Experience utilizing and merging data from a variety of databases required

CERTIFICATES, LICENSES, REGISTRATIONS
  • CFA, PRM, FRM a plus

KNOWLEDGE, SKILLS AND ABILITIES
  • Able to understand credit risk (e.g., PD, LGD) and cash flow calculations and mechanics.
  • Able to use this understanding to interpret and discover inconsistencies in credit risk results and to provide insight into the credit risk outputs and enhance the modeling capabilities of the team
  • Strong communication skills (both verbal and written) with the ability to articulate complex concepts into a format digestible by a diverse audience
  • 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

ADDITIONAL INFORMATION
  • Candidates residing in locations within BankUnited's footprint may be given preference.

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