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Model Risk Jobs in Georgia (NOW HIRING)

AI Model Validation Lead, GenAI

Atlanta, GA · On-site

$210K - $280K/yr

This role requires a deep understanding of statistical modeling, machine learning algorithms, and risk management frameworks. The ideal candidate will work closely with data scientists, engineers ...

The Catastrophe Risk Analyst analyzes data, models risk and provides strategic recommendations to enhance risk management strategies. What will your job entail? Responsibilities * Conduct detailed ...

Catastrophe Risk Analyst

Atlanta, GA · On-site

$72K - $90K/yr

The Catastrophe Risk Analyst analyzes data, models risk and provides strategic recommendations to enhance risk management strategies. What will your job entail? Responsibilities * Conduct detailed ...

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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 Georgia?

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

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

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

Infographic showing various Model Risk job openings in Georgia as of September 2026, with employment types broken down into 2% As Needed, 80% Full Time, 15% Part Time, 1% Temporary, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Risk Analyst Specialist - Risk Intelligence

Atlanta, GA • On-site

Worldpay
Technology, Communication and Media • 10K+ employees

Full-time

Re-posted 3 days ago


Key responsibilities

  • Provide decision support for new verticals, markets, and partners to enable responsible revenue growth.

  • Identify process bottlenecks and implement automation and policy simplification to reduce friction and improve time-to-decision.

  • Review significant events and loss drivers, advising business owners on remediation and preventive controls.


Job description

Job Description

Ready to take your career global?
Make your mark at one of the biggest names in payments. We're looking for a Risk Analyst Specialist to join our ever evolving Commercial Risk team and help shape the future of global commerce.

As a Risk Analyst on the Commercial Risk Team with a focus on Risk Intelligence, you'll work on the cutting edge of risk management with the largest FinTech company in the world. While using your advanced technical skills to protect Worldpay from threats, you will partner with business leaders to identify risks, evaluate the effectiveness of controls, and promote continuous improvement.
What you will be doing:

  • Provide decision support for new verticals/markets/partners with clear guardrails to enable responsible revenue growth.

  • Identify process bottlenecks; implement automation and policy simplification to reduce friction and improve time-to-decision.

  • Ensure strategic objectives of the Commercial Risk Management program are met, including execution of risk assessment activities, coordination of risk response, and program testing and validation, augmented by AI-driven analytics and automation where appropriate.

  • Lead the integration of AI solutions into risk operations to improve detection, triage, and prevention (e.g., anomaly detection, segmentation, scoring models), with clear performance baselines, target outcomes, and governance.

  • Review significant events and loss drivers; advise business owners on remediation and preventive controls, including opportunities for AI-enabled root-cause analysis, early-warning indicators, and predictive risk signals.

  • Perform risk assessments across Data Protection, Supplier Management, and Enterprise Risk Management programs; identify potential issues, control gaps, data quality risks, model risks, and process efficiencies, leveraging advanced analytics and AI-assisted testing where applicable.

  • Document risk analyses and controls; evaluate control design and drive continuous control improvement, including the use of AI/ML-enabled control monitoring and continuous control testing.

  • Participate in and often lead cross-functional projects to mitigate risks, generating actionable remediation plans and embedding AI-enabled monitoring to sustain risk reduction.

  • Track, coordinate, and resolve issues identified in control, compliance, audit, or risk work; implement dashboards and alerts for ongoing AI model and process performance monitoring.

  • Develop and maintain knowledge of regulatory requirements, with emphasis on emerging AI/ML regulations, standards, and guidance relevant to financial services and payments (e.g., model risk management, data governance, AI ethics).

  • Produce executive-ready reporting that supports decision making and future investment cases, including business cases, ROI analyses, and total cost of ownership for AI and data capabilities.

  • Provide training and change management to upskill staff on AI-enabled risk practices, tools, and responsible AI principles.

  • Other related duties as needed.


What you will bring:

  • Strong analytical, organizational, and communication skills; excellent interpersonal skills with the ability to influence across functions and levels.

  • Proven experience translating risk problems into data/AI solutions and turning insights into operationalized controls or workflows.

  • Understanding of model risk management, responsible AI, data governance, privacy, and security practices in a regulated environment.

  • Experience with risk analytics, KPI/KRI frameworks, dashboarding, and experimentation to quantify impact and efficiency.

  • Project-oriented and able to manage multiple complex initiatives; may require overtime at critical times.

  • Ability to establish and maintain effective working relationships with employees, vendors, clients, and regulators


It's a bonus if you have:

  • Familiarity with AI/ML concepts and lifecycle (problem framing, data sourcing, feature engineering, model training/validation, monitoring, drift detection, and retraining).

  • Tools exposure: data visualization (e.g., Power BI/Tableau), query languages (SQL), and collaboration with data scientists/engineers on Python/ML workflows; experience with case management and alerting platforms is a plus.

About the team

Our inclusive and global teams win together every day. We're proud to have the best minds in the industry,

who you can learn from as you grow your career. The people, the energy, the connections - it's unmatched. Come and be part of an ever-evolving company and get dynamic opportunities that go beyond borders.

What makes a Globalpayer?

Globalpayers think like a client, act like an owner and win as one team. We're curious and innovative -

always finding better ways to deliver impact. We empower each other to make decisions, and it's our passion

that drives excellence in everything we set out to do.

Does this sound like you? Then you sound like a Globalpayer. Apply now to take your career global.

#LI- BJ1


EEOC Statement

Worldpay is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, marital status, genetic information, national origin, disability, veteran status, and other protected characteristics. The EEO is the Law poster is available here.

If you are made a conditional offer of employment and will be working in the United States, you will be required to undergo a drug test. In developing this job description care was taken to include all competencies and requirements needed to successfully perform the position. Reasonable accommodations will be provided for individuals with qualified disabilities both during the hiring process, as well as to allow the individual to perform the essential functions of the job, if hired.

Washington Candidates: Click here for information on the Fair Chance Act.