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Director Model Risk Management Jobs (NOW HIRING)

Position Overview The Officer, Model Risk Management will conduct various activities related to enterprise model risk validation and model governance. This individual is accountable for independently ...

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Director Model Risk Management information

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$54K

$143.2K

$260K

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

As of Jun 3, 2026, the average yearly pay for director model risk management in the United States is $143,185.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,500.00 and $167,500.00 per year, depending on experience, location, and employer.

What is the difference between Director Model Risk Management vs Model Validation Manager?

AspectDirector Model Risk ManagementModel Validation Manager
CredentialsAdvanced degrees (e.g., Master’s, PhD), certifications like FRM or CFASimilar credentials, often with FRM or CFA
Work EnvironmentStrategic oversight, cross-department collaboration, senior leadershipTechnical validation, model testing, detailed analysis
Industry UsageUsed in banking, finance, risk management departmentsCommon in model development and validation teams
Search/Comparison IntentUnderstanding leadership roles in risk managementFocus on technical validation and model testing

The main difference is that the Director Model Risk Management oversees the entire model risk framework, providing strategic guidance and leadership, while the Model Validation Manager focuses on technical validation and testing of models. Both roles require similar credentials and are integral to risk management in financial institutions, but they differ in scope and responsibilities.

What cities are hiring for Director Model Risk Management jobs? Cities with the most Director Model Risk Management job openings:
What are the most commonly searched types of Model Risk Management jobs? The most popular types of Model Risk Management jobs are:
What states have the most Director Model Risk Management jobs? States with the most job openings for Director Model Risk Management jobs include:
Director Model Risk Management - AI/Gen AI

Director Model Risk Management - AI/Gen AI

The Hartford Financial Services Group, Inc.

Hartford, CT • On-site

Full-time

Posted 12 days ago


The Hartford rating

8.8

Company rating: 8.8 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

52nd of 260 rated insurance


Job description

Director Model Risk Management - KM06AE
We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future.
Director Model Risk Management AI/GenAI
The Hartford's Model Risk Management function seeks a director to join a talented and high-performing Model Risk Management team. The successful candidate will lead efforts to ensure the integrity, accuracy, and compliance of AI and Generative AI (GenAI) models used across the enterprise. The Director/Validator will independently review, challenge, and validate models to ensure they meet internal model risk management standards, regulatory expectations, and ethical AI principles. In addition, the Director will drive the enhancement of the existing model validation framework for GenAI including identifying and deploying model validation tools for increased efficiency.
The Hartford utilizes advanced analytics, predictive, AI/ML, and Generative AI models as well as traditional actuarial models in a variety of important and critical business functions. The Model Risk Management team manages model risk across The Hartford by validating these models, implementing consistent policies and standards, and maintaining appropriate model oversight. As part of the team, this role will focus primarily on validating AI and GenAI models across The Hartford and reporting results to key internal stakeholders. Additional responsibilities include educating modeling best practices and spreading model risk awareness across the enterprise.
Responsibilities
  • Model Validation and Oversight: Direct and perform end-to-end model validations on AI and GenAI model use cases across The Hartford's functional areas and lines of business:
    • Ensure model calculations, machine learning algorithms, and GenAI methods are accurate and appropriate for intended use.
    • Design and build challenger solutions and testing methods for tasks such as summarization, question answering, search, data synthesis, LLM-as-a-judge, Context Relevancy, Answer Relevancy, Groundedness etc.
    • Review and assess the quantitative and qualitative testing techniques to ensure model accuracy, robustness, and reliability.
    • Assess key data inputs, assumptions, prompt engineering, context engineering for accuracy and appropriateness.
    • Review model outputs for accuracy and appropriate downstream usage.
    • Deliver effective challenge to key modeling elements such as inputs, calculations, outputs, conceptual soundness, monitoring & controls, documentation, etc.
    • Assess the appropriate use of model / use case controls, e.g., Guardrails, HITL/HOTL, their implementation and effectiveness across a variety of models and use cases.
  • Identify findings and recommendations, including impact analysis, to mitigate model risk and compile clear and concise model validation reports.
  • Perform governance accountabilities related to findings tracking, remediation testing, and validation.
  • Governance, Framework, and Practice Enhancement: Drive end-to-end initiatives including the enhancement of the existing GenAI model validation framework:
    • Assist in the continuous improvement of The Hartford's Model Risk Management function by monitoring external environment, recommending process improvements, implementing emerging best practices, and evolving the enterprise's model risk management Policy and Standards for Model Development and Use
    • Identifying and deploying model validation tools for increased efficiency, while ensuring the continued alignment with regulatory standards
    • Identify/develop qualitative assessments and quantitative performance metrics to test and monitor AI/ML and GenAI performance and reliability, including model drift detection, data currency, lineage, quality, integrity, and inform model validation practices (e.g., scope, frequency)
    • Pro-actively stay informed of advancements in AI/ML, GenAI modeling and associated emerging techniques/technologies, their application, risks, and risk mitigating strategies.
    • Lead initiatives to understand and upskill for tools, such as VertexAI/Google agent development kit, LangChain/LangGraph, RAG frameworks, HuggingFace, OpenAI APIs, etc.
  • Strategic Collaboration: Strengthen enterprise partnerships with leadership and their teams across Data Science, Tech, PIDA, Actuarial and the Lines of Business to:
    • Deliver insights that enhance model development, performance, and reliability, ensuring a comprehensive approach to risk management and business strategy.
    • Keep model risk practices aligned with the proliferation and sophistication of modeling by partnering on cross functional teams (e.g., Audit Readiness) to advance Standard Work Templates and best practices for proactive model risk management.
    • Pro-actively stay informed of enterprise and Line of Business initiatives, deliverables, and reporting.

Qualifications
  • Advanced degree (M.S. or Ph.D.) in a relevant field e.g., Artificial Intelligence, Machine Learning, Computational Science, Engineering, Statistics, Applied Mathematics, Actuarial Science, Quantitative Economics.
  • 10+ years of industry experience in machine learning or data science and with 1+ years focused on GenAI.
  • Strong understanding of enterprise-wide governance and risk management frameworks.
  • P&C, Group, Life, or related insurance product experience is a plus.
  • Strong programming experience across languages/technology platforms including Python, R, SAS/SQL
  • Solid understanding of GenAI concepts including prompt and context engineering, retrieval-augmented generation (RAG), agent workflow, LLM evaluation, familiarity with neural networks
  • Experience in GenAI tools such as Vertex AI/Google agent development kit, LangChain/LangGraph, RAG frameworks, HuggingFace, OpenAI APIs.
  • Ability to act independently with proactive self-directed accountability and demonstrated experience and consistency in meeting deadlines while adapting to shifting priorities.
  • Strong analytical, critical, and investigative thinking skills
  • Demonstrated commitment to lifelong learning with an ardent desire for continuous development to keep pace with evolving modeling techniques and AI technologies.
  • Solution oriented creativity, innovative thinking, and challenging the status quo.
  • Excellent communication and collaboration skills, with the ability to explain complex technical concepts to non-technical stakeholders across the enterprise.

Compensation
The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:
$136,000 - $204,000
Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age
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About Hartford

Sourced by ZipRecruiter

Hartford Financial Services Group, widely recognized as The Hartford, is a renowned company based in Hartford, CT, US. Established in 1810, it has evolved into an industry leader in the insurance and financial services sector, proudly serving more than one million businesses in the US. The Hartford is committed to offering a gamut of insurance products that include homeowners, automobile, and business insurance as well as employee benefits and mutual funds. The company’s core values revolve around customer-focused innovations, diversity and inclusion, and ethical dealings that have earned them a customer-centric reputation. This shapes their mission which revolves around aiding their clients to overcome unforeseen obstacles and enhancing their wealth over time. Among the company's noted accomplishments is being consistently listed among the World's Most Ethical Companies, a testament to their unwavering commitment towards responsible business practices.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Hartford, CT, US

Year founded

1810

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