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Model Risk Governance Jobs in Illinois (NOW HIRING)

The ideal candidate brings deep risk management expertise, working knowledge of AI and model governance, and the ability to partner effectively with Legal, Compliance, IT Security, and business ...

Perform model and AI risk governance related activities in line with enterprise risk framework, to ensure PayPal's AI applications are compliant with ever evolving regulatory expectation such as ...

Perform model and AI risk governance related activities in line with enterprise risk framework, to ensure PayPal's AI applications are compliant with ever evolving regulatory expectation such as ...

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Model Risk Governance information

See Illinois salary details

$9

$44

$138

How much do model risk governance jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for model risk governance in Illinois is $44.30, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $69.90 per hour, depending on experience, location, and employer.

What are some typical challenges faced in a Model Risk Governance role?

Professionals in Model Risk Governance often encounter challenges such as keeping up with evolving regulatory requirements, ensuring comprehensive documentation for models, and maintaining effective communication between technical modelers and business stakeholders. Balancing rigorous model validations with tight project timelines can also be demanding, especially when coordinating input from various teams. Overcoming these hurdles requires a proactive approach to learning, strong organizational skills, and the ability to translate complex quantitative issues into actionable insights for decision-makers. These challenges make the work dynamic and offer significant opportunities to influence critical risk management processes within the organization.

What is a Model Risk Governance job?

A Model Risk Governance job involves overseeing the policies, procedures, and frameworks used to manage model risk within an organization. Professionals in this role ensure that models used for decision-making in areas like finance, risk management, and compliance are properly validated, monitored, and updated. They work closely with model developers, risk managers, and regulators to enforce governance standards and mitigate potential risks. Key responsibilities include establishing model validation processes, conducting risk assessments, and ensuring compliance with regulatory requirements.

What are the key skills and qualifications needed to thrive in the Model Risk Governance position, and why are they important?

To excel in Model Risk Governance, you typically need a strong background in quantitative finance, statistics, or a related field, often with advanced degrees such as a master's or Ph.D., and experience in risk management. Familiarity with model validation tools, programming languages like Python or R, and regulatory frameworks such as SR 11-7 or Basel guidelines is highly valued. Strong analytical thinking, communication skills, and the ability to manage multiple stakeholders are key soft skills for this position. These competencies ensure effective oversight of model risk, facilitate regulatory compliance, and enable clear communication of complex technical issues to non-technical stakeholders.

What are the most commonly searched types of Model Risk Governance jobs in Illinois? The most popular types of Model Risk Governance jobs in Illinois are:
What job categories do people searching Model Risk Governance jobs in Illinois look for? The top searched job categories for Model Risk Governance jobs in Illinois are:

AI Assessment Consultant/Strategist

Syncredible Solutions

Chicago, IL โ€ข On-site

Other

Posted 3 days ago

New


Job description

At Syncredible Solutions, we believe in the transformative power of technology. we specialize in Digital transformation services, Enterprise solutions, Power BI Analytics solutions and staffing services.


Location: Chicago, IL, Hybrid, 3 days work from office

Start Date: Immediate.


We are seeking an experienced AI Readiness Assessment Consultant to support a strategic AI transformation initiative for our direct client. The consultant will conduct structured AI readiness assessments across key business functions, evaluating operational, process, data, technology, and organizational readiness to enable successful AI adoption.

This is a hands-on consulting engagement, requiring close collaboration with business stakeholders, process owners, SMEs, and technical teams to produce actionable recommendations that will directly influence clientโ€™s AI strategy, investment decisions, and transformation roadmap


Key Responsibilities:

  • Conduct comprehensive AI readiness assessments across assigned business functions.
  • Partner with functional leaders, SMEs, and technical teams to understand current business processes, systems, data, and operational challenges.
  • Assess AI readiness across the following dimensions:
  • Business Strategy
  • Knowledge Foundations (Data, Documentation & Governance)
  • Technical Infrastructure
  • Organizational Readiness & Change Management
  • AI Applicability & ROI
  • Evaluate current data quality, governance, process documentation, and institutional knowledge required to support AI initiatives.
  • Identify readiness gaps and recommend prioritized remediation plans.
  • Develop AI adoption roadmaps, sequencing quick wins and long-term transformation initiatives.
  • Identify high-value AI use cases with preliminary business value and ROI justification.
  • Facilitate validation sessions with business leadership and present findings to executive stakeholders.
  • Produce assessment deliverables that support enterprise investment and AI implementation decisions.


Required Deliverables:

  • Knowledge Substrate Map
  • AI Readiness Gap Analysis
  • Prioritized AI Transformation Roadmap
  • AI Use Case Opportunity Inventory


Required Skills & Experience:

  • 12+ years of consulting or transformation experience with at least 3+ years conducting AI readiness assessments within Financial Services or Market Infrastructure organizations.
  • Proven experience assessing AI readiness and developing AI transformation strategies.
  • Strong understanding of enterprise AI adoption, data governance, business process transformation, and organizational change management.
  • Experience working within regulated financial institutions such as:
  • Clearing Organizations
  • Exchanges
  • Custodians
  • Banking or Capital Markets
  • Strong knowledge of:
  • AI Strategy & AI Adoption Frameworks
  • Data Governance
  • Enterprise Architecture
  • Business Process Analysis
  • Change Management
  • AI Use Case Prioritization
  • Familiarity with regulatory environments governing Financial Market Utilities, including PFMI standards and Model Risk Governance.
  • Ability to engage confidently with senior leadership across Financial Risk Management, Technology, and Systems Integration teams.
  • Excellent executive communication, stakeholder management, and presentation skills.
  • Demonstrated experience delivering assessment outcomes that influenced investment or transformation decisions.


Preferred Qualifications

  • Experience working with systemically important financial market infrastructure organizations.
  • Background in AI strategy consulting, digital transformation, or enterprise architecture.
  • Experience facilitating executive workshops and steering committee presentations.