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Director Model Risk Governance Jobs in Delaware (NOW HIRING)

$111K - $189K/yr

ENTERPRISE FRAUD GOVERNANCE LEAD WHAT IS THE OPPORTUNITY? The Enterprise Fraud Governance Lead ... Track and facilitate fraud management compliance with BCP, Third Party Risk Management, Model Risk ...

$111K - $189K/yr

The Enterprise Fraud Governance Lead works closely with multiple functional areas to ensure the ... Track and facilitate fraud management compliance with BCP, Third Party Risk Management, Model Risk ...

Director Of Credit Risk Oversight Best Egg, now part of Barclays, is a market-leading, tech-enabled ... Assess the effectiveness of governance for strategy approval, documentation, implementation, and ...

Showing results 21-40

Director Model Risk Governance information

What is a director model risk governance?

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 the key skills and qualifications needed to thrive as a director model risk governance?

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 some common challenges faced by a director 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 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 popular job titles related to Director Model Risk Governance jobs in Delaware?

For Director Model Risk Governance jobs in Delaware, the most frequently searched job titles are:

What job categories do people searching Director Model Risk Governance jobs in Delaware look for?

The top searched job categories for Director Model Risk Governance jobs in Delaware are:

What cities in Delaware are hiring for Director Model Risk Governance jobs?

Cities in Delaware with the most Director Model Risk Governance job openings:

Senior AI & Automation Specialist (Hybrid)

Wilmington, DE β€’ Hybrid

$100K - $132K/yr

Full-time

Re-posted 18 days ago


Job description

Work Arrangement:

***This position is available as a hybrid position in our Wilmington, DE office.***

At The Bancorp, we’ve spent more than 25 years driving innovation in the financial services industry. As one of the first banks to embrace fintech, we combine technology, expertise and a forward-looking approach to deliver creative, real-world solutions. We work side by side with our partners to help them grow and innovate with confidence. Across Fintech Solutions, Institutional Banking, Commercial Lending and Real Estate Bridge Lending, we provide the people, processes, technology and banking capabilities that turn bold ideas into outcomes.

Join a team that brings urgency and rigor to every challenge and plays a direct role in driving growth for our clients and the communities we serve.

The Senior AI & Automation Specialist is responsible for leading the design, architecture, and delivery of enterprise AI-enabled automation solutions across The Bancorp Bank. This role integrates machine learning, natural language processing, and data-driven decisioning into enterprise workflows, enabling the evolution from task-based automation to intelligent, predictive, and decision-driven processes. This position serves as the senior technical and strategic authority for AI within the Automation program, ensuring solutions are scalable, compliant, and aligned with enterprise governance, model risk, and data management frameworks. The role operates across business, technology, and risk functions, requiring the ability to navigate evolving priorities, translate complex concepts, and drive enterprise adoption of AI capabilities within a regulated banking environment.


  1. Leads the design and architecture of enterprise AI solutions, integrating machine learning, NLP, and cognitive services into automation platforms.
  2. Defines scalable frameworks and standards for AI-enabled automation, ensuring alignment with enterprise architecture and governance requirements.
  3. Evaluates, selects, and implements AI technologies, tools, and vendors in accordance with risk appetite, regulatory expectations, and enterprise standards.
  4. Drives end-to-end delivery of intelligent automation use cases, including alert triage, document intelligence, predictive exception handling, and decision support.
  5. Partners cross-functionally with Technology, Data Science, Operations, Risk, and Compliance to operationalize AI solutions in production environments.
  6. Establishes best practices for AI model integration, orchestration with RPA platforms (e.g., UiPath), and cloud-based AI services.
  7. Ensures all AI solutions meet model risk management, data governance, and regulatory compliance requirements.
  8. Provides technical leadership and mentorship to automation team members, elevating AI literacy and solution design capabilities.
  9. Translates business needs into scalable AI-enabled solutions with measurable operational and financial outcomes.
  10. Supports automation pipeline governance through solution evaluation, feasibility assessment, and prioritization activities.
  11. Drives continuous improvement of enterprise automation capabilities, introducing innovative AI applications aligned with strategic objectives.
  12. Contributes to broader program activities including cross-functional coordination, governance support, analysis of processes and systems, and preparation of materials for decision-making forums, as needed.
  13. Performs other duties as assigned.
  14. No travel required.

Education / Experience Requirements

  • Bachelor’s degree in Computer Science, Data Science, Engineering, or related field (or equivalent experience).
  • Combined experience in AI, machine learning, intelligent automation, or advanced analytics.
  • Demonstrated experience designing and deploying AI/ML solutions in enterprise or regulated environments.
  • Proven ability to lead complex, cross-functional technology initiatives.
  • Experience integrating AI capabilities into operational workflows and automation platforms.
  • Strong understanding of model risk, data governance, and regulatory considerations within financial services.

Preferred Qualifications

  • Advanced degree (Master’s or PhD) in AI, Data Science, or related discipline.
  • Experience with NLP, document intelligence, and predictive modeling techniques.
  • Hands-on experience with platforms such as UiPath, Python, Azure AI/OpenAI, or similar ecosystems.
  • Familiarity with enterprise AI governance frameworks and model lifecycle management.
  • Strong understanding of cloud-based AI architecture and API-driven integrations.
  • Exceptional stakeholder engagement and ability to translate technical concepts into business value.
  • Experience building or scaling intelligent automation programs within financial services.
  • Experience operating within regulated or sponsor banking environments, including exposure to risk, compliance, and model governance expectations.
  • Demonstrated ability to operate effectively in evolving program structures and adapt to changing priorities.

This job will be open and accepting applications for a minimum of five days from the date it was posted.

Working at The Bancorp Bank, N.A. and Benefits Information: https://thebancorp.com/company/join-our-team/


Company Culture at The Bancorp Bank: https://www.thebancorp.com/company/company-culture/

The Bancorp Bank, N.A. is an EQUAL OPPORTUNITY EMPLOYER and will not discriminate on the basis of race, color, religion, gender, gender identity, sexual orientation, pregnancy, citizenship, national origin, age, disability, genetic information, veteran status or other protected category with respect to recruitment, hiring, training, promotion, and other terms and conditions of employment.

Employment with The Bancorp Bank, N.A. includes successfully passing a background check including credit, criminal, education, employment, OFAC, and social media background history.

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