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Director Model Risk Governance Jobs in Hackensack, NJ

Merican

Context Engineer (Model Risk Focus)

New York, NY · On-site

$50 - $53/hr

This role supports model lifecycle and risk governance through domain aware context engineering. Key Responsibilities * Design and optimize prompting and contextual structures to shape model behavior.

DTCC

Model Validation Senior Associate

Jersey City, NJ · On-site

Prepare model validation and review presentations to the Model Risk Governance Council (MRGC) meetings for model approval, model issue tracking, and resolution. * Present model validation, review ...

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All JobsModel Risk Governance JobsDirector Model Risk Governance JobsDirector Model Risk Governance Jobs in Hackensack, NJ

Director Model Risk Governance information

See Hackensack, NJ salary details

$58.9K

$156.2K

$283.6K

How much do director model risk governance jobs pay per year?

As of Aug 7, 2026, the average yearly pay for director model risk governance in Hackensack, NJ is $156,164.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,100.00 and $182,700.00 per year, depending on experience, location, and employer.

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 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 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 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 job categories do people searching Director Model Risk Governance jobs in Hackensack, NJ look for? The top searched job categories for Director Model Risk Governance jobs in Hackensack, NJ are:
What cities near Hackensack, NJ are hiring for Director Model Risk Governance jobs? Cities near Hackensack, NJ with the most Director Model Risk Governance job openings:
Director Model Risk Governance jobs near you
Infographic showing various Director Model Risk Governance job openings in Hackensack, NJ as of August 2026, with employment types broken down into 100% Full Time. Highlights an 46% In-person, and 54% Remote job distribution, with an average salary of $156,164 per year, or $75.1 per hour.

Context Engineer (Model Risk Focus)

Merican

New York, NY • On-site

$50 - $53/hr

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Overview:
TekWissen is a global workforce management provider headquartered in Ann Arbor, Michigan that offers strategic talent solutions to our clients world-wide. Our client is a global professional services firm specializing in digital transformation, business process management (BPM), analytics, and AI-driven solutions. The company partners with organizations to improve efficiency, transform operations, and drive business outcomes through a combination of process expertise, technology, and data insight.
Job Title: Context Engineer (Model Risk Focus)
Location: NYC, NY, 10003
Duration: 6 months
Rate: $50/hr. - $53/hr.
Job Type: Temporary Assignment
Work Type: Onsite
Job Summary:
We are seeking a Context Engineer focused on optimizing LLM and Agentic AI behavior through advanced context, prompt, and knowledge design techniques. This role supports model lifecycle and risk governance through domain aware context engineering.
Key Responsibilities
  • Design and optimize prompting and contextual structures to shape model behavior.
  • Encode escalation rules, risk boundaries, and guardrails directly into agent context.
  • Leverage domain expertise in Model Risk Management and model lifecycle workflows.
  • Work with vector databases and embedding techniques to enable retrieval augmented context.
  • Partner with AI engineers and architects to integrate context layers into agentic systems.

Required Skills
  • Domain knowledge in Model Risk Management.
  • Experience with prompt/context design and AI behavior optimization.
  • Hands on experience with vector databases and retrieval frameworks.

TekWissen® Group is an equal opportunity employer supporting workforce diversity.
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About Merican

Sourced by ZipRecruiter

Merican is a IT Service consulting firm, specialized in Digital adoption and Business automation. With our diverse collection of skilled and committed consultants, technology companies, businesses and digital experts, we provide our subject expertise and our unique client service approach, a best-in-class global model of delivery suited to the business demands of our clients. We ensure that we implement future-oriented solutions for our clients via investments in people, solutions, technologies, competencies and infrastructure.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Columbia , MD, US

Year founded

2020

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