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Model Risk Manager Jobs in Atlanta, GA (NOW HIRING)

Build, enhance or localize model risk management programs including coverage assessments, change management, access management procedures, internal controls, and transaction monitoring and watchlist ...

About the Quantitative Office The Quantitative Office (QO) is Truist's central and lead model development function, serving as a critical enterprise capability that underpins risk management ...

Your future team produces industry leading machine learning models and decision systems whose ... Away from leading the team and managing customer delivery work, you'll guide new commercial ...

Your future team produces industry leading machine learning models and decision systems whose ... Away from leading the team and managing customer delivery work, you'll guide new commercial ...

Catastrophe Model Development: Apply expertise in catastrophe risk modeling research and ... Support Tokio Marine Group enterprise exposure management and other risk analytics functions to ...

Catastrophe Model Development: Apply expertise in catastrophe risk modeling research and ... Support Tokio Marine Group enterprise exposure management and other risk analytics functions to ...

Catastrophe Model Development: Apply expertise in catastrophe risk modeling research and ... Support Tokio Marine Group enterprise exposure management and other risk analytics functions to ...

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Model Risk Manager information

See Atlanta, GA salary details

$49.5K

$107.3K

$163.5K

How much do model risk manager jobs pay per year?

As of May 30, 2026, the average yearly pay for model risk manager in Atlanta, GA is $107,279.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,500.00 and $124,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Model Risk Manager, and why are they important?

To thrive as a Model Risk Manager, you need a solid background in quantitative finance, statistics, or mathematics, often supported by an advanced degree and experience in model development or validation. Familiarity with programming languages such as Python or R, risk management frameworks, and regulatory requirements like SR 11-7 or ECB guidelines is typically expected. Strong analytical thinking, attention to detail, and effective communication are crucial soft skills for articulating complex model risks to stakeholders. These competencies are vital for ensuring the accuracy, compliance, and reliability of financial models within an organization.

What are some common challenges a Model Risk Manager faces when validating complex financial models?

Model Risk Managers often encounter challenges such as limited or incomplete data, evolving regulatory requirements, and the need to validate highly complex or proprietary models. They must work closely with model developers, quantitative analysts, and compliance teams to ensure all assumptions and methodologies are sound. Staying up to date with industry best practices and maintaining clear documentation are also crucial, as is effectively communicating findings to both technical and non-technical stakeholders.

What does a Model Risk Manager do?

A Model Risk Manager is responsible for identifying, assessing, and mitigating risks associated with financial and analytical models used by an organization. They ensure that models are accurate, reliable, and compliant with regulatory standards by overseeing validation processes and monitoring model performance. Their role often includes collaborating with model developers, conducting independent reviews, and implementing model governance frameworks to minimize potential losses or errors stemming from model misuse or inaccuracies.

What is the difference between Model Risk Manager vs Quantitative Analyst?

AspectModel Risk ManagerQuantitative Analyst
Required CredentialsAdvanced degrees in finance, statistics, or mathematics; certifications like FRM or CFADegree in finance, economics, mathematics, or related fields; often CFA or CQF
Work EnvironmentFocus on risk management teams within financial institutions; regulatory complianceAnalytical roles within trading, investment, or banking divisions; model development
Employer & Industry UsageFinancial institutions, banks, asset managersInvestment firms, hedge funds, banks, financial services

The Model Risk Manager primarily oversees and mitigates risks associated with financial models, ensuring compliance and accuracy. In contrast, Quantitative Analysts develop and implement models to support trading, investment, or risk strategies. While both roles require strong quantitative skills and similar credentials, their focus areas differ—risk management versus model development and analysis.

What are popular job titles related to Model Risk Manager jobs in Atlanta, GA? For Model Risk Manager jobs in Atlanta, GA, the most frequently searched job titles are:
What job categories do people searching Model Risk Manager jobs in Atlanta, GA look for? The top searched job categories for Model Risk Manager jobs in Atlanta, GA are:
What cities near Atlanta, GA are hiring for Model Risk Manager jobs? Cities near Atlanta, GA with the most Model Risk Manager job openings:
Infographic showing various Model Risk Manager job openings in Atlanta, GA as of May 2026, with employment types broken down into 92% Full Time, 4% Part Time, and 4% Contract. Highlights an 65% In-person, 22% Hybrid, and 13% Remote job distribution, with an average salary of $107,279 per year, or $51.6 per hour.
Model Validation Director

Model Validation Director

Ankura

Atlanta, GA • On-site, Remote

Full-time

Posted 20 days ago


Job description

Ankura is a team of excellence founded on innovation and growth.

The Model Validation Director is expected to lead and execute model validation testing processes on systems which support Financial Crime programs, including transaction monitoring, customer risk assessment/rating, fraud detection and watchlist screening/interdiction systems.

Responsibilities:

Responsibilities will include designing and/or updating testing strategies (e.g., data quality testing, data reconciliation, above-the-line and below-the-line testing, statistical analysis) which will aid in the independent validation of financial crimes detection and sanctions screening models. Testing could include conceptual design review, control operating effectiveness testing, and/or issue validation testing. Candidates will be required to execute analytical projects working closely with senior stakeholders and clients to deliver value to financial institution clients.

Ideally this role will be hybrid based out of one of our locations; however, remote locations will be considered on a case to case basis.

Requirements:

  • Bachelor's and/or advanced degree with a concentration in Data Management or Analytics; Finance; Computer Science, Management Information Systems, or Statistics/Mathematics.

  • Experience with data extraction and analysis tools such as SQL/Python.

  • 5+ years of experience within the Financial Crime industry.

  • 5+ years of model validation, AML system implementation, data lineage, or quality testing experience.

  • Basic knowledge of the software development lifecycle.

  • Demonstrated experience with data analysis, business analysis, and data validation, activities with financial services institutions.

  • Demonstrated experience with performing independent testing on models, including an understanding of risks/controls and experience documenting testing within workpapers.

  • Experience executing model validations of financial crime systems, including but not limited to: Verafin, Actimize, BAM/BAM+, YellowHammer, FCRM, FinanSeer, FiServ, Lexis Nexis Bridger, FircoSoft, Quantexa, Palantir, Accuity, RDC, and others.

  • Demonstrated experience and knowledge of banking and compliance systems.

  • Demonstrated experience working in a results-driven environment within a team environment.

  • Strong organizational, interpersonal, and presentation skills.

  • Ability to actively engage with stakeholders to collect information, and issues, and make recommendations for business and process improvements.

  • Highly effective verbal and written communication skills and the ability to interact with all levels of management.

  • Strong teamwork, communication, and customer service skills.

  • Strong analytical, attention to detail, organizational, and core project management skills.

  • Possesses knowledge of the challenges of data cleansing and integration in Python and/or SQL.

  • Ability to work with IT and business personnel.

Main Duties:

  • Conduct model validation, implementation, tuning and optimization of AML and Sanctions models, on and off site, issue written reports and workpapers, and communicate results with customers;

  • Conduct data validation exercises such as data quality testing and data reconciliation; Develop test scripts corresponding to scope of the testing engagement and business expectations;

  • Conduct statistical analysis, outlier detection, sensitivity analysis, above-the-line and below-the-line testing on financial transaction data, transaction monitoring alert data, and sanctions screening alert data;

  • Track and validate the implementation of remedial actions submitted by the remedial actions owners to verify that issues were remediated; follow up as necessary;

  • Monitor regulatory activities and industry developments to identify trends and emerging issues that may impact the clients and may require changes to the compliance testing program;

  • Build, enhance or localize model risk management programs including coverage assessments, change management, access management procedures, internal controls, and transaction monitoring and watchlist systems;

  • Assist clients with daytoday compliance requirements;

  • Serve as subject matter expert to customers;

  • Assist with cultivating new business with existing and new clients, participating in proposal development, and networking;

  • Applicants must be authorized to work in the U.S. without sponsorship now or in the future


Preferred:

  • Prior professional services/consulting firm experience

  • Experience with visualizing and communicating analytical results using technologies such as Tableau, Power BI, Cognos, QlikView, Spotfire, and D3

For individuals assigned and/or hired to work in California, Colorado, or New York, Ankura is required to include a reasonable estimate of the compensation range for this role. This compensation range is specific to the said markets and considers a broad range of factors including but not limited to skill sets, experience and training, licensure and certifications, and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. The range does not include additional benefits outside of salary. At Ankura, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each role. A reasonable estimate of the current base pay range is between $85,000 to $200,000; this range is not a promise of a particular wage.

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Ankura is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against based on disability. Equal Employment Opportunity Posters, if you have a disability and believe you need a reasonable accommodation to search for a job opening, submit an online application, or participate in an interview/assessment, please email accommodations@ankura.com or call toll-free +1.312-583-2122. This email and phone number are created exclusively to assist disabled job seekers whose disability prevents them from being able to apply online. Only messages left for this purpose will be returned. Messages left for other purposes, such as following up on an application or technical issues unrelated to a disability, will not receive a response.