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Model Risk Jobs in Massachusetts (NOW HIRING)

Build benchmark reserving models and design statistical tests to review and challenge reserving model assumptions (risk segmentation, trends, loss development factors etc.) and the conceptual ...

Build benchmark reserving models and design statistical tests to review and challenge reserving model assumptions (risk segmentation, trends, loss development factors etc.) and the conceptual ...

Sr Data Scientist

Westwood, MA · On-site

$124K - $165K/yr

Collaborate with Model Risk Management, Model Validation, and Market Risk for periodic model reviews * Monitor model performance and recommend enhancements including overlays, recalibration, or ...

Sr Data Scientist

Boston, MA · On-site

$124K - $165K/yr

Collaborate with Model Risk Management, Model Validation, and Market Risk for periodic model reviews * Monitor model performance and recommend enhancements including overlays, recalibration, or ...

Risk Consultant

Boston, MA · On-site

$85K - $110K/yr

Risk Consultant Karen Clark & Company seeks a Risk Consultant to join our Client Services team ... In tandem with the model development team, you will conduct thorough validation analyses of our ...

Risk Consultant

Boston, MA · On-site

$85K - $110K/yr

Risk Consultant Karen Clark & Company seeks a Risk Consultant to join our Client Services team ... In tandem with the model development team, you will conduct thorough validation analyses of our ...

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Showing results 1-20

Model Risk information

See Massachusetts salary details

$15

$33

$80

How much do model risk jobs pay per hour?

As of Jun 22, 2026, the average hourly pay for model risk in Massachusetts is $33.13, according to ZipRecruiter salary data. Most workers in this role earn between $21.25 and $42.26 per hour, depending on experience, location, and employer.

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 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 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 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 are the most commonly searched types of Model Risk jobs in Massachusetts? The most popular types of Model Risk jobs in Massachusetts are:
What are popular job titles related to Model Risk jobs in Massachusetts? For Model Risk jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Model Risk jobs in Massachusetts look for? The top searched job categories for Model Risk jobs in Massachusetts are:
Infographic showing various Model Risk job openings in Massachusetts as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $68,913 per year, or $33.1 per hour.
Senior Consultant - Digital Assets Enterprise Strategy, Risk and Operating Model Design

Senior Consultant - Digital Assets Enterprise Strategy, Risk and Operating Model Design

Deloitte

Boston, MA • On-site

Other

Posted 18 days ago


Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

58th of 138 rated financial services


Job description

Senior Consultant - Digital Assets Enterprise Strategy, Risk and Operating Model Design

Enterprise Operations & Risk

Ready for a fast-paced exciting career? Have a passion for helping your clients reduce risk and increase value? Deloitte's Digital Assets practice combines the competencies of risk management, regulation, technology, and cryptography to help organizations address challenges in an integrated manner.

Our Deloitte Regulatory, Risk & Forensic team helps client leaders translate multifaceted risk and an evolving regulatory environment into defensible actions that strengthen, protect, and transform their organizations. Join our team and use advanced data, AI, and emerging technologies with industry insights to help clients bring clarity from complexity and accelerate their path to value creation.

Work you'll do

As a Senior Consultant in Digital Assets Strategy & Operating Model Design, you'll be at the forefront of helping clients navigate the fast-evolving world of digital assets. You'll collaborate with leading organizations to develop and refine enterprise-wide digital asset strategies, design innovative operating models, and build compelling business cases for new initiatives. Your work will blend risk management, technology, and strategic thinking to deliver integrated solutions that drive value and reduce risk. You'll have the opportunity to work with cross-functional teams, tackle complex challenges, and make a tangible impact in shaping the future of finance and technology. This is a high visibility role and will drive cross functional collaboration.

As a Senior Consultant, you will have opportunities to:

  • Work with clients and engagement teams to develop and refine enterprise-wide digital asset strategies, including defining value propositions, identifying use cases, prioritizing roadmaps, and outlining investment requirements.
  • Assess new and emerging digital asset technologies, and design mitigation strategies for related emerging risks.
  • Stand up new business and finance capabilities to engage with the digital asset ecosystem, including designing target-state operating models that encompass organization structure, governance, processes, roles, skills, and performance measures.
  • Build and validate business cases for digital asset initiatives, including financial modeling, risk assessment, and scenario analysis.
  • Research, collaborate, and report on risks and mitigating factors associated with various digital asset ecosystems.
  • Serve as a subject matter resource for supporting client engagement teams in business and operational model considerations as well as assessing risk of digital asset ecosystems, covering compliance, regulatory, BSA/AML, cyber, operational, blockchain, and financial risks.
  • Identify strategic risks and opportunities in the digital asset ecosystem based on industry insights, latest academic research, and exchange with colleagues.
  • Educate clients and internal teams on digital assets and operating model leading practices.
  • Prepare technical documentation and diagrams for digital assets, contributing to guidance on private key management, smart contract platforms, multi-signature/MPC, privacy coins, protocol governance, proof-of-work, and proof-of-stake consensus models.
  • Provide risk and regulatory advisory support in defining and reviewing business models.
  • Design and deploy business and finance process changes and risk-mitigating controls to enable digital-asset-specific capabilities.
  • Facilitate use of technology-based tools or methodologies to analyze public blockchain data.
  • Demonstrate deep knowledge of client's business environments, risk management approaches, market trends, competitor activities, and Deloitte's products and service lines.

The successful candidate would possess these skills

Ability to work independently and collaborate as part of a team
Effective written and verbal communication skills
Meticulous attention to detail and quality of work product
Ability to build and sustain professional relationships 
Ability to lead projects or workstreams
Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
Strong interpersonal skills and professional demeanor 
Ability to meet deadlines
Ability to provide clear guidance to others

The Team

Our Enterprise Operations & Risk offering enables clients to achieve profitable growth and competitive advantage by optimizing "heart of the business" operations. We leverage deep domain expertise to extend enterprise resilience, agility and remediation. Our professionals address client needs which span the organization and impact strategy, operations, performance and reputation

Qualifications

Candidates will have exceptional records of professional achievement, experience working in a relevant financial services industry sector, and a demonstrated capacity and enthusiasm for self-paced development. Candidates will be expected to motivate others, build constructive relationships with clients and colleagues, and work both independently and as part of a team. Successful candidates will demonstrate an aptitude for complex problem-solving and analytical skills and the ability to communicate complex ideas clearly and persuasively across a variety of strategic, operational, technological, and risk management matters.

Required Qualifications:

  • Bachelor's degree or higher in a relevant field (e.g., Finance, Business, Computer Science, or related discipline).
  • Minimum 5+ years of experience in financial services, consulting, or digital asset strategy, with direct involvement in developing and refining enterprise-wide digital asset strategies, including value propositions, use cases, roadmap prioritization, and investment requirements.
  • Demonstrated ability to design target-state operating models for digital asset initiatives, encompassing organization structure, governance, processes, roles, skills, and performance measures
  • Proven experience building and validating business cases for digital asset projects, including financial modeling, risk assessment, and scenario analysis.
  • Strong analytical and problem-solving skills, with the ability to assess risks and opportunities in emerging digital asset ecosystems.
  • Excellent communication skills, including the ability to prepare technical documentation and educate stakeholders on digital assets and operating model leading practices.
  • Ability to travel up to 75% based on the work you do and the clients and industries/sectors you serve.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Preferred qualifications

Candidates possessing one or more of the following qualifications is preferred:

  • Experience leading cross-functional teams in the execution of digital asset strategy projects, driving consensus among diverse stakeholders.
  • Track record of designing and implementing innovative operating models for digital asset businesses, including piloting new governance structures and performance frameworks.
  • Hands-on involvement in launching digital asset initiatives at scale, with demonstrated impact on organizational transformation or market positioning.
  • Advanced proficiency in quantitative analysis and scenario modeling for digital asset investments, including the use of specialized financial tools or platforms.
  • Familiarity with emerging technologies in the digital asset space (e.g., blockchain interoperability, smart contract automation, privacy-enhancing protocols).
  • Published thought leadership or active participation in industry forums related to digital asset strategy, operating model design, or risk management.
  • Experience mentoring or training others in digital asset strategy, operating model design, or business case development.

Candidates joining our firm should possess an entrepreneurial drive, intellectual curiosity, creativity, and critical thinking in addition to the qualifications below:

  • Strong oral and written communication skills, including the ability to support or lead business proposal development and sales presentations
  • Strong relationship management skills, particularly the ability to build constructive and product working relationships with clients and among Deloitte practitioners
  • Strong project / program management skills, particularly possessing a strong work ethic, a commitment to excellence in work product delivery, and the ability to independently manage multiple priorities
    and deadlines
  • Advanced aptitude with Microsoft Office products, particularly Microsoft PowerPoint, Excel, and Visio

Our Deloitte Blockchain & Digital Asset team helps client leaders translate multifaceted risk and an evolving regulatory environment into defensible actions that strengthen, protect, and transform their organization. Join our team and use advanced data, AI, and emerging technologies with industry insights to help clients bring clarity from complexity and accelerate their path to value creation.

Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $119000 to $218300.

Qualifications:

Senior Consultant - Digital Assets Enterprise Strategy, Risk and Operating Model Design

Enterprise Operations & Risk

Ready for a fast-paced exciting career? Have a passion for helping your clients reduce risk and increase value? Deloitte's Digital Assets practice combines the competencies of risk management, regulation, technology, and cryptography to help organizations address challenges in an integrated manner.

Our Deloitte Regulatory, Risk & Forensic team helps client leaders translate multifaceted risk and an evolving regulatory environment into defensible actions that strengthen, protect, and transform their organizations. Join our team and use advanced data, AI, and emerging technologies with industry insights to help clients bring clarity from complexity and accelerate their path to value creation.

Work you'll do

As a Senior Consultant in Digital Assets Strategy & Operating Model Design, you'll be at the forefront of helping clients navigate the fast-evolving world of digital assets. You'll collaborate with leading organizations to develop and refine enterprise-wide digital asset strategies, design innovative operating models, and build compelling business cases for new initiatives. Your work will blend risk management, technology, and strategic thinking to deliver integrated solutions that drive value and reduce risk. You'll have the opportunity to work with cross-functional teams, tackle complex challenges, and make a tangible impact in shaping the future of finance and technology. This is a high visibility role and will drive cross functional collaboration.

As a Senior Consultant, you will have opportunities to:

  • Work with clients and engagement teams to develop and refine enterprise-wide digital asset strategies, including defining value propositions, identifying use cases, prioritizing roadmaps, and outlining investment requirements.
  • Assess new and emerging digital asset technologies, and design mitigation strategies for related emerging risks.
  • Stand up new business and finance capabilities to engage with the digital asset ecosystem, including designing target-state operating models that encompass organization structure, governance, processes, roles, skills, and performance measures.
  • Build and validate business cases for digital asset initiatives, including financial modeling, risk assessment, and scenario analysis.
  • Research, collaborate, and report on risks and mitigating factors associated with various digital asset ecosystems.
  • Serve as a subject matter resource for supporting client engagement teams in business and operational model considerations as well as assessing risk of digital asset ecosystems, covering compliance, regulatory, BSA/AML, cyber, operational, blockchain, and financial risks.
  • Identify strategic risks and opportunities in the digital asset ecosystem based on industry insights, latest academic research, and exchange with colleagues.
  • Educate clients and internal teams on digital assets and operating model leading practices.
  • Prepare technical documentation and diagrams for digital assets, contributing to guidance on private key management, smart contract platforms, multi-signature/MPC, privacy coins, protocol governance, proof-of-work, and proof-of-stake consensus models.
  • Provide risk and regulatory advisory support in defining and reviewing business models.
  • Design and deploy business and finance process changes and risk-mitigating controls to enable digital-asset-specific capabilities.
  • Facilitate use of technology-based tools or methodologies to analyze public blockchain data.
  • Demonstrate deep knowledge of client's business environments, risk management approaches, market trends, competitor activities, and Deloitte's products and service lines.

The successful candidate would possess these skills

Ability to work independently and collaborate as part of a team
Effective written and verbal communication skills
Meticulous attention to detail and quality of work product
Ability to build and sustain professional relationships 
Ability to lead projects or workstreams
Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
Strong interpersonal skills and professional demeanor 
Ability to meet deadlines
Ability to provide clear guidance to others

The Tea...


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