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Director Model Risk Governance Jobs in Maryland (NOW HIRING)

... governance, monitoring, and documentation of Financial Crime Compliance models, partnering with ... This is a Director level position within the NFR Data & Analytics team, which is responsible for ...

Design AI governance models supporting responsible AI implementation. * Develop AI risk assessment frameworks for federal mission environments. * Establish policies for model transparency ...

... risk posture, and compliance obligations * Establish and operate governance structures that support ... models, data quality management, and tooling enablement * Strong knowledge of data governance ...

... risk posture, and compliance obligations * Establish and operate governance structures that support ... models, data quality management, and tooling enablement * Strong knowledge of data governance ...

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Director Model Risk Governance information

What is the difference between Director Model Risk Governance vs Model Risk Analyst?

AspectDirector Model Risk GovernanceModel Risk Analyst
CredentialsAdvanced degrees (e.g., Master’s, PhD), professional certifications (e.g., FRM, CFA)Bachelor’s or Master’s degree, relevant certifications
Work EnvironmentStrategic oversight, policy development, senior stakeholder engagementData analysis, model validation, risk assessment
Employer & Industry UsageFinancial institutions, banks, asset managersFinancial institutions, risk management teams
Search & Comparison IntentUnderstanding leadership roles in model risk governanceEntry to mid-level model risk roles, analysis tasks

The main difference is that the Director Model Risk Governance focuses on strategic oversight, policy setting, and managing model risk at a senior level, while the Model Risk Analyst handles technical validation, data analysis, and risk assessment tasks. The director role involves leadership and decision-making, whereas the analyst role is more technical and operational.

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

To thrive as a Director of Model Risk Governance, you need deep expertise in quantitative finance, risk management, and model validation, often backed by an advanced degree in a quantitative field and relevant industry experience. Familiarity with risk management frameworks, regulatory standards (e.g., SR 11-7), and proficiency in analytical tools like Python, R, or SAS are typically required. Exceptional leadership, communication, and critical thinking skills help you effectively oversee teams and coordinate with stakeholders across the organization. These competencies are vital to ensure robust model governance, regulatory compliance, and informed risk-based decision-making at the enterprise level.

What are Director Model Risk Governance roles?

Director Model Risk Governance roles are senior positions responsible for overseeing and managing the risks associated with financial and predictive models within an organization. These professionals establish and implement model risk management frameworks, ensure compliance with regulatory requirements, and oversee model validation processes. They collaborate with model developers, validators, and business units to identify, assess, and mitigate model risks, as well as report on governance effectiveness to senior management. Their work is crucial in maintaining the reliability and integrity of models used for decision-making and regulatory reporting.

What are some common challenges faced by a Director of Model Risk Governance, and how can they be addressed?

A Director of Model Risk Governance often encounters challenges such as ensuring consistent model validation across diverse business units, keeping up with evolving regulatory requirements, and fostering effective communication between model owners, validators, and senior management. Addressing these challenges typically involves establishing robust model risk frameworks, maintaining clear documentation, and promoting a culture of transparency and collaboration. Regular training sessions and open forums can help bridge knowledge gaps, while leveraging technology can streamline model inventory and validation processes.
What are popular job titles related to Director Model Risk Governance jobs in Maryland? For Director Model Risk Governance jobs in Maryland, the most frequently searched job titles are:
What job categories do people searching Director Model Risk Governance jobs in Maryland look for? The top searched job categories for Director Model Risk Governance jobs in Maryland are:
What cities in Maryland are hiring for Director Model Risk Governance jobs? Cities in Maryland with the most Director Model Risk Governance job openings:
Infographic showing various Director Model Risk Governance job openings in Maryland as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, 1% Temporary, and 2% Contract. Highlights an 91% Physical, 4% Hybrid, and 5% Remote job distribution.

Model Risk Control Specialist

Morgan Stanley

Baltimore, MD • On-site

$70K - $125K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 26 days ago


Morgan Stanley rating

8.3

Company rating: 8.3 out of 10

Based on 154 frontline employees who took The Breakroom Quiz

37th of 150 rated financial services


Job description

We're seeking someone to join our team as a Model Risk Control Specialist in Non-Financial Risk to strengthen the governance, monitoring, and documentation of Financial Crime Compliance models, partnering with model owners and stakeholders to enhance model performance and meet internal policy and regulatory expectations.
In the Legal & Compliance division, we assist the Firm in achieving its business objectives by facilitating and overseeing the Firm's management of legal, regulatory and franchise risk. This is a Director level position within the NFR Data & Analytics team, which is responsible for designing and optimizing surveillance models, approaches, and tools using advanced analytical techniques, and ensuring these models support the detection of suspicious and/or illegal behaviors (e.g., money laundering, market manipulation, insider trading, unfair sales or trading practices, sanctions-related risks, and other financial crimes).
Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world.
What you'll do:
> Draft and maintain comprehensive model documentation across the model lifecycle for Financial Crime Compliance models
> Establish and execute ongoing model monitoring controls, partnering with quantitative analysts and subject matter experts
> Support model tuning and optimization for Trade Surveillance, Transaction Monitoring, and Sanctions screening models, including ML/AI-enabled approaches where applicable
> Oversee and challenge model testing performed by developers and vendors, including design of challenger models or compensating controls as needed
> Perform and/or manage periodic assessments and above-/below-the-line testing to evaluate model performance and sustainability
> Conduct research on emerging modeling approaches and regulatory expectations, performing gap analyses and recommending enhancements to existing controls
> Lead root-cause analysis for model performance anomalies and drive remediation planning with stakeholders
> Manage model governance processes, including model inventory updates, change tracking, and reporting to senior management, Model Risk Management, and Internal Audit D. Part 2: Scope of Role -
What you'll bring:
> Ability to build and maintain clear, audit-ready model documentation across the model lifecycle
> Understanding of Financial Crime Compliance concepts and model use cases (e.g., AML/transaction monitoring, sanctions screening, trade surveillance)
> Experience in ongoing model monitoring, performance analysis, and issue investigation (including root-cause analysis)
> Experience partnering with quantitative/analytics teams to support testing, tuning, and optimization of models (including vendor-developed solutions)
> Knowledge of model risk governance expectations and standards (e.g., SR 11-7 / OCC 2011-12) and experience supporting validation and exam requests
> Ability to translate complex technical concepts into clear materials for non-technical stakeholders and senior management
> Experience in producing metrics, management reporting, and tracking model changes through governance forums
> Proficiency in data and analytical tools (e.g., SQL, Python, Excel); familiarity with visualization tools (e.g., Power BI, Tableau) is a plus
Typically, 5+ years' relevant experience would generally be expected to find the skills required for this role
WHAT YOU CAN EXPECT FROM MORGAN STANLEY:
At Morgan Stanley, we raise, manage and allocate capital for our clients - helping them reach their goals. We do it in a way that's differentiated - and we've done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren't just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you'll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There's also ample opportunity to move about the business for those who show passion and grit in their work.
To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.
Salary range for the position: $70,000 and $125,000 per year. The successful candidate may be eligible for an annual discretionary incentive compensation award. The successful candidate may be eligible to participate in the relevant business unit's incentive compensation plan, which also may include a discretionary bonus component. Morgan Stanley offers a full spectrum of benefits, including Medical, Prescription Drug, Dental, Vision, Health Savings Account, Dependent Day Care Savings Account, Life Insurance, Disability and Other Insurance Plans, Paid Time Off (including Sick Leave consistent with state and local law, Parental Leave and 20 Vacation Days annually), 10 Paid Holidays, 401(k), and Short/Long Term Disability, in addition to other special perks reserved for our employees. Please visit mybenefits.morganstanley.com to learn more about our benefit offerings.
Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.
Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.
For more information, please visit: https://www.morganstanley.com/people-opportunities/eeo.

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