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Model Risk Jobs in New York (NOW HIRING)

Merican

Context Engineer (Model Risk Focus)

New York, NY · On-site

$50 - $53/hr

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 ...

American Express

Manager - Risk Management

Manhattan, NY · On-site

$98K - $150.25K/yr

We are seeking a skilled and detail-oriented professional to join our team as a model risk governance manager. Responsibilities for this role include overseeing and enhancing the organization's model ...

Td

FCRM Model Risk Governance Strategy

New York, NY · On-site

$96.13K - $155.95K/yr

We are looking for a Model Risk Governance Analyst to enhance and implement the model risk governance for the full FCRM's models and AI solutions. This is a critical role that liaises among model ...

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Model Risk information

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$15

$33

$81

How much do model risk jobs pay per hour?

As of May 31, 2026, the average hourly pay for model risk in New York is $33.19, according to ZipRecruiter salary data. Most workers in this role earn between $21.30 and $42.36 per hour, depending on experience, location, and employer.

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

To thrive as a Model Risk Analyst, you need a solid background in quantitative analysis, statistics, or finance, often supported by an advanced degree in a related field. Familiarity with model validation tools, programming languages such as Python or R, and regulatory frameworks like SR 11-7 is essential. Strong analytical thinking, attention to detail, and effective communication skills are crucial for evaluating models and presenting findings to stakeholders. These skills ensure model integrity, regulatory compliance, and risk mitigation in financial institutions.

What are some typical challenges faced by professionals working in Model Risk, and how can they be addressed?

Professionals in Model Risk often encounter challenges such as ensuring model accuracy, managing regulatory compliance, and effectively communicating complex technical findings to non-technical stakeholders. Addressing these challenges requires a strong understanding of both quantitative modeling and relevant regulations, as well as strong collaboration skills to work with model developers, auditors, and business units. Staying informed about evolving regulatory standards and participating in ongoing training can also help model risk professionals remain effective and add value to their organizations.

What is model risk?

Model risk refers to the potential for adverse consequences resulting from decisions based on incorrect or misused models. In financial institutions, model risk can arise if a model's assumptions are flawed, if the data input is poor, or if the model is applied inappropriately. Managing model risk involves validating models, monitoring their performance, and ensuring that they are used within their intended scope. Effective model risk management helps organizations avoid significant financial losses and comply with regulatory requirements.

What is the difference between Model Risk vs Model Validation?

AspectModel RiskModel Validation
Primary FocusIdentifying, assessing, and mitigating risks associated with modelsEvaluating and testing models to ensure accuracy and reliability
Required CredentialsQuantitative skills, risk management certifications, industry experienceQuantitative expertise, validation certifications, industry knowledge
Work EnvironmentRisk management teams within financial institutions or firmsModel validation teams, often within risk or model development departments
Industry UsageUsed across banking, insurance, and investment firms to manage model-related risksCommonly employed in financial services to verify model performance

Model Risk focuses on managing the potential negative impacts of models, including errors and misuse, while Model Validation concentrates on testing and confirming the accuracy and robustness of models. Both roles are essential in financial industries to ensure models are reliable and risks are minimized.

What are the most commonly searched types of Model Risk jobs in New York? The most popular types of Model Risk jobs in New York are:
What are popular job titles related to Model Risk jobs in New York? For Model Risk jobs in New York, the most frequently searched job titles are:
What job categories do people searching Model Risk jobs in New York look for? The top searched job categories for Model Risk jobs in New York are:
Model Risk jobs near you
Context Engineer (Model Risk Focus)

Context Engineer (Model Risk Focus)

Merican

New York, NY • On-site

$50 - $53/hr

Other

Posted 28 days ago

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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