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Model Risk Analyst Jobs (NOW HIRING)

... model risk. * Track, manage, monitor, and report on risk issues and corrective action plans to ... Analyze and report Key Risk Indicators (KRIs) and Risk Appetite Statement (RAS) metrics. * Prepare ...

... model risk. * Track, manage, monitor, and report on risk issues and corrective action plans to ... Analyze and report Key Risk Indicators (KRIs) and Risk Appetite Statement (RAS) metrics. * Prepare ...

Risk Analyst

South Jordan, UT · On-site

$57K - $85K/yr

Conduct risk analysis and modeling to inform corporate business planning and management decision making. Contribute to the development, implementation, and/or maintenance of appropriate reporting ...

Strong knowledge of quantitative analysis, statistical techniques, and risk assessment ... models and identify potential risks. * Strong leadership and team management abilities, with a ...

Strong knowledge of quantitative analysis, statistical techniques, and risk assessment ... models and identify potential risks. * Strong leadership and team management abilities, with a ...

Strong knowledge of quantitative analysis, statistical techniques, and risk assessment ... models and identify potential risks. * Strong leadership and team management abilities, with a ...

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Model Risk Analyst information

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$15

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$65

How much do model risk analyst jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for model risk analyst in the United States is $40.49, according to ZipRecruiter salary data. Most workers in this role earn between $29.81 and $49.28 per hour, depending on experience, location, and employer.

What is a model risk analyst?

A Model Risk Analyst evaluates, validates, and monitors financial models to ensure they function correctly and comply with regulatory standards. They identify potential risks in model assumptions, data quality, and methodologies. Their work helps financial institutions mitigate model-related risks that could lead to inaccurate decision-making. Analysts collaborate with model developers, risk managers, and auditors to improve model performance and documentation. Strong analytical, statistical, and programming skills are essential for this role.

What skills and qualifications are needed to be a model risk analyst?

To thrive as a Model Risk Analyst, you need strong quantitative analysis skills, a background in mathematics, statistics, finance, or a related field, and experience in model validation practices. Familiarity with programming languages such as Python, R, SAS, and tools like Excel, along with knowledge of regulatory requirements such as SR 11-7, is typically essential; certifications like FRM or CFA can be advantageous. Excellent communication, attention to detail, and critical thinking are important soft skills for presenting findings and collaborating with cross-functional teams. Mastery of these skills ensures the integrity and reliability of risk models, supporting sound business decisions and regulatory compliance.

What challenges might a model risk analyst face in their daily work?

Model Risk Analysts often encounter challenges such as ensuring data quality, identifying model limitations, and keeping up with evolving regulatory standards. They must frequently balance the technical rigor needed to validate complex financial models with the need to communicate their findings clearly to stakeholders without a technical background. Additionally, adapting quickly to new modeling methodologies or changing business priorities is common. Overcoming these challenges requires ongoing learning, strong collaboration with model developers, and a proactive approach to risk management.

Do model risk analysts make good money?

Model risk analysts typically earn competitive salaries that vary by industry, experience, and location. Entry-level positions often start around $70,000 annually, with experienced professionals earning over $120,000, especially in financial services and banking sectors. Certifications like CFA or FRM and proficiency in programming tools such as Python or SAS can enhance earning potential.

What does a model risk analyst do?

A model risk analyst evaluates and monitors the risks associated with financial and operational models used by organizations. They review model assumptions, validate model accuracy, and ensure compliance with regulatory standards, often using statistical and analytical tools. Their work helps prevent financial loss and supports decision-making processes.
More about Model Risk Analyst jobs

What states have the most Model Risk Analyst jobs?

States with the most job openings for Model Risk Analyst jobs include:

Infographic showing various Model Risk Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution, with an average salary of $84,210 per year, or $40.5 per hour.

Risk Analyst Specialist - Risk Intelligence

Greater Giving, Inc.

Cincinnati, OH • On-site

$110 - $140/hr

Other

PTO

Posted 5 days ago


Job description

Team: Legal, Compliance, Risk and Audit

Ready to take your career global?

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.

Responsibilities
  • 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.
Qualifications
  • 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.
Bonus
  • 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.

Location: Atlanta, Georgia, United States

My Health

We offer access to medical coverage that supports the health and wellbeing for you and your family.

My Money

In addition to base salary, you may be eligible for bonuses and/or equity awards, determined by role, level, impact, and our policies.

My Lifestyle

We have a dedicated Wellness Week each year – which includes an extra paid day off – so you can take time to relax, recharge and invest in your wellbeing.

My Family

FLEX, our family inclusion community, offers support for all Globalpayers at every stage, from raising families to caring for loved ones.

My Time Off

We offer paid time off and public holidays so you can rest, recharge and spend time on what matters most.

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.

Explore the benefits we offer in the USA

Privacy Statement

Global Payments is committed to protecting the privacy and security of all personal information that we process in order to provide services to our clients. For specific information on how Global Payments protects personal information online, please see the Online Privacy Notice.

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