ZipRecruiter

Log In

1

Model Risk Jobs in Florida (NOW HIRING)

Amerantbank

Credit Risk Metrics Specialist

Hollywood, FL · On-site

Ensure model documentation is up to date and in accordance with regulatory requirements. * Maintain ... Credit Risk Metrics: * Calculate and monitor Risk Appetite Metrics (RAMs) and Key Risk Indicators ...

Amerantbank

Credit Risk Metrics Specialist

Tampa, FL · On-site

Ensure model documentation is up to date and in accordance with regulatory requirements. * Maintain ... Credit Risk Metrics: * Calculate and monitor Risk Appetite Metrics (RAMs) and Key Risk Indicators ...

Amerantbank

Credit Risk Metrics Specialist

Miami, FL · On-site

Ensure model documentation is up to date and in accordance with regulatory requirements. * Maintain ... Credit Risk Metrics: * Calculate and monitor Risk Appetite Metrics (RAMs) and Key Risk Indicators ...

Jobtailor

Risk Officer

Tampa, FL · On-site

$120 - $180/hr

Ensure continuous and appropriate supervisory coverage, working with Management, Site Leaders, and the Senior Risk Officer to maintain coverage models and back-up plans. * Oversee adherence to the E*

New

Accenture Federal Services

AI/ML Engineer

Tampa, FL · Hybrid

Understanding of data governance, security constraints, and model risk management. * Ability to communicate complex technical concepts to nontechnical stakeholders. Security Clearance: * Active TS ...

Moss

Risk Analyst

Fort Lauderdale, FL

... Language Models (LLMs), Generative AI, and competitor strategies to identify high-impact ... Support risk-management activities related to corporate insurance, risk accounting, project ...

Moss

Risk Analyst

Fort Lauderdale, FL · On-site

... Language Models (LLMs), Generative AI, and competitor strategies to identify high-impact ... Support risk-management activities related to corporate insurance, risk accounting, project ...

Emigrant Bank

Senior Risk Manager

Miami, FL · On-site

Participate in the oversight of model governance including the validation of model assumptions and results * Assist in formation of risk appetite statements and monitoring of compliance * Identify ...

Emigrant Bank

Senior Risk Manager

Miami, FL · On-site

Participate in the oversight of model governance including the validation of model assumptions and results * Assist in formation of risk appetite statements and monitoring of compliance * Identify ...

Emigrant Bank

Senior Risk Manager

Miami, FL

Participate in the oversight of model governance including the validation of model assumptions and results * Assist in formation of risk appetite statements and monitoring of compliance * Identify ...

previous page

Showing results 41-60

All JobsModel Risk JobsModel Risk Jobs in Florida

Model Risk information

What is model risk?

Model risk refers to the potential for adverse consequences resulting from decisions based on incorrect or misused models. In financial institutions, model risk can arise if a model's assumptions are flawed, if the data input is poor, or if the model is applied inappropriately. Managing model risk involves validating models, monitoring their performance, and ensuring that they are used within their intended scope. Effective model risk management helps organizations avoid significant financial losses and comply with regulatory requirements.

What are some typical challenges faced by professionals working in model risk, and how can they be addressed?

Professionals in Model Risk often encounter challenges such as ensuring model accuracy, managing regulatory compliance, and effectively communicating complex technical findings to non-technical stakeholders. Addressing these challenges requires a strong understanding of both quantitative modeling and relevant regulations, as well as strong collaboration skills to work with model developers, auditors, and business units. Staying informed about evolving regulatory standards and participating in ongoing training can also help model risk professionals remain effective and add value to their organizations.

What are the key skills and qualifications needed to thrive as a model risk analyst, and why are they important?

To thrive as a Model Risk Analyst, you need a solid background in quantitative analysis, statistics, or finance, often supported by an advanced degree in a related field. Familiarity with model validation tools, programming languages such as Python or R, and regulatory frameworks like SR 11-7 is essential. Strong analytical thinking, attention to detail, and effective communication skills are crucial for evaluating models and presenting findings to stakeholders. These skills ensure model integrity, regulatory compliance, and risk mitigation in financial institutions.

What is the difference between Model Risk vs Model Validation?

AspectModel RiskModel Validation
Primary FocusIdentifying, assessing, and mitigating risks associated with modelsEvaluating and testing models to ensure accuracy and reliability
Required CredentialsQuantitative skills, risk management certifications, industry experienceQuantitative expertise, validation certifications, industry knowledge
Work EnvironmentRisk management teams within financial institutions or firmsModel validation teams, often within risk or model development departments
Industry UsageUsed across banking, insurance, and investment firms to manage model-related risksCommonly employed in financial services to verify model performance

Model Risk focuses on managing the potential negative impacts of models, including errors and misuse, while Model Validation concentrates on testing and confirming the accuracy and robustness of models. Both roles are essential in financial industries to ensure models are reliable and risks are minimized.

What does a model risk do?

A model risk professional assesses and manages the risks associated with using mathematical and statistical models in financial and operational decision-making. They review model accuracy, validate assumptions, and ensure compliance with regulatory standards, often using tools like SAS or R. Their work helps prevent financial loss due to model errors or misestimations.

What does a model risk specialist do?

A model risk specialist evaluates and manages risks associated with financial or operational models used by organizations. They review model assumptions, validate model performance, and ensure compliance with regulatory standards, often using statistical and analytical tools. Their work helps prevent model errors that could lead to financial loss or regulatory issues.

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

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

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

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

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

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

What cities in Florida are hiring for Model Risk jobs?

Cities in Florida with the most Model Risk job openings:

Model Risk jobs near you
Infographic showing various Model Risk job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution.

Payments Risk Analyst

Certegy Payment Solutions

Clearwater, FL • On-site

Full-time

Re-posted 9 hours ago

Job description

Job Summary:
Certegy Payment Solutions is a provider of secure payment acceptance solutions, and they are seeking a Payments Risk Analyst to enhance their expertise in fraud and risk monitoring. The role involves collaborating with various teams to analyze transactional data, implement risk controls, and communicate insights to stakeholders.
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.
Qualifications:
Required:
• 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.
• 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.
• U.S. work authorization required (no visa sponsorship available)
Preferred:
• Payments industry experience in ACH, real-time payments (RTP/FedNow), BNPL, checks, or alternative payment methods strongly preferred.
Company:
We are a leading FinTech provider of payment risk management and services to retailers and financial institutions in North America. Founded in 1981, the company is headquartered in Clearwater, USA, with a team of 51-200 employees. The company is currently Growth Stage.

Apply