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Model Risk Manager Jobs in Trumbull, CT (NOW HIRING)

Deloitte

Anaplan Senior Manager

Stamford, CT · On-site

From strategy to technology to operations, and across workforce, risk, assurance, and tax, Deloitte ... Anaplan Level 2 Model Builder or higher; OneStream or Oracle EPM certifications * 5+ years ...

Deloitte

Financial Risk Senior Consultant

Stamford, CT · On-site

$124.20K/yr

Credit Risk, Liquidity Risk, Market Risk, Capital Management/Stress Testing * Knowledge of financial services business models, products, and services * Experience in banking, digital assets, or ...

Robert Half

Finance and Risk Analyst

New Haven, CT · On-site

$19 - $21/hr

The role is well suited for an individual who can connect financial analysis with risk management ... Prepare summaries, models, and reports that help leadership understand risk exposure, claim ...

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Model Risk Manager information

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$50.5K

$109.5K

$166.8K

How much do model risk manager jobs pay per year?

As of May 30, 2026, the average yearly pay for model risk manager in Trumbull, CT is $109,456.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,300.00 and $126,600.00 per year, depending on experience, location, and employer.

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

To thrive as a Model Risk Manager, you need a solid background in quantitative finance, statistics, or mathematics, often supported by an advanced degree and experience in model development or validation. Familiarity with programming languages such as Python or R, risk management frameworks, and regulatory requirements like SR 11-7 or ECB guidelines is typically expected. Strong analytical thinking, attention to detail, and effective communication are crucial soft skills for articulating complex model risks to stakeholders. These competencies are vital for ensuring the accuracy, compliance, and reliability of financial models within an organization.

What are some common challenges a Model Risk Manager faces when validating complex financial models?

Model Risk Managers often encounter challenges such as limited or incomplete data, evolving regulatory requirements, and the need to validate highly complex or proprietary models. They must work closely with model developers, quantitative analysts, and compliance teams to ensure all assumptions and methodologies are sound. Staying up to date with industry best practices and maintaining clear documentation are also crucial, as is effectively communicating findings to both technical and non-technical stakeholders.

What does a Model Risk Manager do?

A Model Risk Manager is responsible for identifying, assessing, and mitigating risks associated with financial and analytical models used by an organization. They ensure that models are accurate, reliable, and compliant with regulatory standards by overseeing validation processes and monitoring model performance. Their role often includes collaborating with model developers, conducting independent reviews, and implementing model governance frameworks to minimize potential losses or errors stemming from model misuse or inaccuracies.

What is the difference between Model Risk Manager vs Quantitative Analyst?

AspectModel Risk ManagerQuantitative Analyst
Required CredentialsAdvanced degrees in finance, statistics, or mathematics; certifications like FRM or CFADegree in finance, economics, mathematics, or related fields; often CFA or CQF
Work EnvironmentFocus on risk management teams within financial institutions; regulatory complianceAnalytical roles within trading, investment, or banking divisions; model development
Employer & Industry UsageFinancial institutions, banks, asset managersInvestment firms, hedge funds, banks, financial services

The Model Risk Manager primarily oversees and mitigates risks associated with financial models, ensuring compliance and accuracy. In contrast, Quantitative Analysts develop and implement models to support trading, investment, or risk strategies. While both roles require strong quantitative skills and similar credentials, their focus areas differ—risk management versus model development and analysis.

What job categories do people searching Model Risk Manager jobs in Trumbull, CT look for? The top searched job categories for Model Risk Manager jobs in Trumbull, CT are:
What cities near Trumbull, CT are hiring for Model Risk Manager jobs? Cities near Trumbull, CT with the most Model Risk Manager job openings:
Model Risk Manager jobs near you
Manager - AI Assisted Process, Risks and Controls Transformation - Investment Management

Manager - AI Assisted Process, Risks and Controls Transformation - Investment Management

Deloitte

Stamford, CT • On-site

Other

Posted 14 days ago

Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

59th of 138 rated financial services

Job description

Manager - AI Assisted Process, Risks and Controls Transformation - Investment Management - Enterprise Operations & Risk

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 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.

Work you'll do

As a Manager, you will have opportunities to:

  • Learn how to identify, evaluate, and prioritize business, operational, regulatory, and technology risks across investment management processes, and apply AI-enabled techniques to improve detection, monitoring, and mitigation of those risks
  • Support clients in designing and implementing AI-enabled governance across the process, risk and control lifecycle including regulatory and compliance impact assessment, process modeling and risk and control mapping, risk identification, control review, testing and enhancement, and issue management and reporting
  • Assist with continuous controls monitoring by leveraging AI to perform simultaneous, continuous anomaly detection across transactions, reconciliations, valuations, and other high-volume operational activities to surface discrepancies earlier.
  • Help deploy AI to enhance process and control effectiveness across the middle/back office processes, including monitoring data flows between systems and data platforms and alerting teams to integration/control issues.
  • Support the development and operationalization of model risk management (MRM) practices for AI and traditional models across the model lifecycle (development, testing/validation, deployment, monitoring), including clearer roles, accountability, and control environment expectations.

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

Required:

  • Bachelor's degree.
  • 6+ years of experience in financial services or consulting with exposure to investment management operations, compliance, risk, internal audit, and/or technology/data functions.
  • Demonstrated knowledge of investment management processes (trade lifecycle, reconciliations, collateral/margin, pricing/valuation support, fund/investment accounting, performance/reporting) and where operational risks and controls typically sit.
  • Experience applying AI/advanced analytics to process, risk, and control management, including one or more of:
    • Continuous anomaly detection and exception triage for transactions and operational processes
    • Risk assessment enhancement using broader data inputs and more real-time updates (where applicable)
    • Generative AI (GenAI) use cases with appropriate controls (e.g., drafting control narratives/test scripts, summarizing policies/procedures, generating action reports and recommendations), paired with human review and audit trails
    • Techniques to reduce control burden while maintaining governance in a highly regulated environment
  • Experience or familiarity with MRM and AI governance concepts, including documentation, validation, monitoring, and oversight needed to maintain transparency, fairness, and accountability for AI systems in investment management.
  • Understanding of AI risk considerations (e.g., bias/fairness, reliability, hallucinations, privacy/security, and attribution/copyright risk) and how to mitigate them via governance and controls.
  • Strong project/program management skills and ability to manage multiple priorities and deadlines with high-quality delivery.
  • Strong oral and written communication skills, including supporting proposals and executive-ready presentations.
  • Limited immigration sponsorship may be available.
  • Ability to travel up to 75%, on average, based on the work you do and the clients and industries/sectors you serve.

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 $144200 to $265600.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Qualifications:

Manager - AI Assisted Process, Risks and Controls Transformation - Investment Management - Enterprise Operations & Risk

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 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.

Work you'll do

As a Manager, you will have opportunities to:

  • Learn how to identify, evaluate, and prioritize business, operational, regulatory, and technology risks across investment management processes, and apply AI-enabled techniques to improve detection, monitoring, and mitigation of those risks
  • Support clients in designing and implementing AI-enabled governance across the process, risk and control lifecycle including regulatory and compliance impact assessment, process modeling and risk and control mapping, risk identification, control review, testing and enhancement, and issue management and reporting
  • Assist with continuous controls monitoring by leveraging AI to perform simultaneous, continuous anomaly detection across transactions, reconciliations, valuations, and other high-volume operational activities to surface discrepancies earlier.
  • Help deploy AI to enhance process and control effectiveness across the middle/back office processes, including monitoring data flows between systems and data platforms and alerting teams to integration/control issues.
  • Support the development and operationalization of model risk management (MRM) practices for AI and traditional models across the model lifecycle (development, testing/validation, deployment, monitoring), including clearer roles, accountability, and control environment expectations.

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

Required:

  • Bachelor's degree.
  • 6+ years of experience in financial services or consulting with exposure to investment management operations, compliance, risk, internal audit, and/or technology/data functions.
  • Demonstrated knowledge of investment management processes (trade lifecycle, reconciliations, collateral/margin, pricing/valuation support, fund/investment accounting, performance/reporting) and where operational risks and controls typically sit.
  • Experience applying AI/advanced analytics to process, risk, and control management, including one or more of:
    • Continuous anomaly detection and exception triage for transactions and operational processes
    • Risk assessment enhancement using broader data inputs and more real-time updates (where applicable)
    • Generative AI (GenAI) use cases with appropriate controls (e.g., drafting control narratives/test scripts, summarizing policies/procedures, generating action reports and recommendations), paired with human review and audit trails
    • Techniques to reduce control burden while maintaining governance in a highly regulated environment
  • Experience or familiarity with MRM and AI governance concepts, including documentation, validation, monitoring, and oversight needed to maintain transparency, fairness, and accountability for AI systems in investment management.
  • Understanding of AI risk considerations (e.g., bias/fairness, reliability, hallucinations, privacy/security, and attribution/copyright risk) and how to mitigate them via governance and controls.
  • Strong project/program management skills and ability to manage multiple priorities and deadlines with high-quality delivery.
  • Strong oral and written communication skills, including supporting proposals and executive-ready presentations.
  • Limited immigration sponsorship may be available.
  • Ability to travel up to 75%, on average, based on the work you do and the clients and industries/sectors you serve.

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 $144200 to $265600.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Education:Bachelor's DegreeEmployment Type:

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