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

Financial Services Manager - Financial Risk Our Deloitte Regulatory, Risk & Forensic team helps ... Knowledge of financial services business models, products, and services * Experience in banking ...

OFSAA data modeler

Norwalk, CT · On-site

$55 - $71.25/hr

... like Model risk management, Liquidity Risk, Basel etc. OFSAA Data Model overview Knowledge of technical tool stack: Informatica, Exadata, OBIEE etc. Good exposure to Data level testing, Data ...

OFSAA data modeler

Norwalk, CT · On-site

$55 - $71.25/hr

... like Model risk management, Liquidity Risk, Basel etc. OFSAA Data Model overview Knowledge of technical tool stack: Informatica, Exadata, OBIEE etc. Good exposure to Data level testing, Data ...

The Team AQR's Risk Management team has direct responsibility for monitoring and managing market, liquidity, credit, model and operational risk exposures of firm-managed investments. The team ...

The Team AQR's Risk Management team has direct responsibility for monitoring and managing market, liquidity, credit, model and operational risk exposures of firm-managed investments. The team ...

Model and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit ... As a Senior Manager you will support the firm's AI Governance Program development and manage risk ...

... and manage risks across the technology portfolio * Define a technology risk taxonomy and scoring model** that incorporates risk severity, business criticality, revenue contribution, customer ...

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Model Risk Manager information

See Trumbull, CT salary details

$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:
Financial Risk Manager

Financial Risk Manager

Deloitte

Stamford, CT

Other

Posted 11 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

Financial Services Manager - Financial 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 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.

Recruiting for this role ends on 5/31/2026

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 as well as risk mitigation strategies for our clients
  • Understand the impact of key technology trends and workforce changes impacting our clients through engagement with innovative and emergent technologies, including cloud computing, big data and analytics, process automation, artificial intelligence / machine learning, and other digital strategies
  • Manage the development of client deliverables or for internal business needs
  • Serve on workstreams for complex projects, liaise with client counterparts, and actively participate in discussions on project management and work delivery needs
  • Manage project teams in providing recommendations to improve or transform processes to gain efficiencies or scale or reduce risk for our clients
  • Manage internal business development initiatives and sales opportunities, including the creation of external-facing industry perspectives, lead generation materials, or sales proposals
  • Produce quality work products independently and collectively with team members throughout development lifecycle from initial conception to implementation
  • Engage with industry participants on market trends, competitive activities, and topic-specific discussions impacting the industry, potentially including with clients, industry consortiums, or trade groups or committees

The Team

Our Regulatory & Financial Risk offering supports clients' regulatory and compliance needs, balancing risk and regulatory requirements with enhancing business value and optimizing outcomes. We deliver enhanced value through strategic transformation, end-to-end implementation, and a focus on business-as-usual sustainability across processes, controls, and data & analytic infrastructures.

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 in Finance, Economics, Business, Statistics, Mathematics, or related field
  • 7+ years of experience in the financial services or consulting industry, supporting one or more of financial risk/related areas: 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 capital markets is desirable
  • Strong relationship management skills, particularly the ability to build constructive and productive working relationships with clients and among Deloitte practitioners
  • Experience with business transformation, regulatory remediation or change management initiatives as a result of strategic, regulatory, risk-related, technological, or operational evolutions
  • Understanding of business processes, regulatory requirements, technology and governance for financial institutions
  • 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
  • Strong oral and written communication skills, including the ability to lead business proposal development and sales presentations
  • Ability to travel up to 50%, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available

Preferred Qualifications

  • Advanced degree and/or certification (e.g., Quant MS, MBA, FRM, CFA, CRCM, CPA, PMP).
  • Expertise in one or more Financial Risk domains:
    • Credit Risk: Underwriting and portfolio credit risk across products (e.g., PD/LGD/EAD modeling support, credit policy/scorecards, risk rating systems, credit review/QA, allowance/CECL support, concentration/limit monitoring, early warning & remediation).
    • Liquidity Risk: Treasury liquidity risk management and reporting (e.g., liquidity stress testing (LST), Liquidity Coverage Ratio (LCR), Net Stable Funding Ratio (NSFR), FR 2052a, contingency funding plans, intraday liquidity, collateral & cash management, asset-liability management (ALM)).
    • Market Risk: Market and interest rate risk management practices (e.g., interest rate risk in the banking book (IRRBB) measurement, sensitivities/scenario analysis, model validation support, limit frameworks, capital markets product exposure understanding, controls and governance).
    • Capital Management / Stress Testing: Capital planning and enterprise stress testing execution (e.g., scenario design support, model methodology governance, results aggregation, capital actions analysis, documentation and control testing, linkage to balance sheet and risk appetite, climate stress testing considerations).
  • Strong understanding of end-to-end banking products/operations (deposits, cards, lending, underwriting; credit products and servicing).
  • Subject matter expertise in one or more financial services areas (Retail, Commercial, Transaction, Wholesale, Cards & Payments, Wealth/Investment Mgmt, Capital Markets, Real Estate, FinTech/PE).
  • Prior experience in risk management role or at a U.S. banking regulator.
  • Familiarity with key regulatory initiatives and supervisory ecosystem (e.g., Dodd-Frank; FRB/Fed, OCC, CFTC), plus strong grasp of associated models, data, processes, and controls.
  • Hands-on ability to analyze/model data using common languages/tools (Python, R, SAS, SQL).
  • Experience supporting or implementing systems (trading, operations, lending, core banking, compliance, risk/case management, or data management)
  • Familiarity with topics such as process design or mapping, workflow development, data management or migration, or analytics/visualization
  • Experience with user acceptance testing, system configuration, monitoring, or issue resolution
  • Ability to translate risk or regulatory requirements into actionable user stories or business needs
  • Advanced proficiency in Microsoft Office (PowerPoint, Excel, Visio)

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

Qualifications:

Financial Services Manager - Financial 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 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.

Recruiting for this role ends on 5/31/2026

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 as well as risk mitigation strategies for our clients
  • Understand the impact of key technology trends and workforce changes impacting our clients through engagement with innovative and emergent technologies, including cloud computing, big data and analytics, process automation, artificial intelligence / machine learning, and other digital strategies
  • Manage the development of client deliverables or for internal business needs
  • Serve on workstreams for complex projects, liaise with client counterparts, and actively participate in discussions on project management and work delivery needs
  • Manage project teams in providing recommendations to improve or transform processes to gain efficiencies or scale or reduce risk for our clients
  • Manage internal business development initiatives and sales opportunities, including the creation of external-facing industry perspectives, lead generation materials, or sales proposals
  • Produce quality work products independently and collectively with team members throughout development lifecycle from initial conception to implementation
  • Engage with industry participants on market trends, competitive activities, and topic-specific discussions impacting the industry, potentially including with clients, industry consortiums, or trade groups or committees

The Team

Our Regulatory & Financial Risk offering supports clients' regulatory and compliance needs, balancing risk and regulatory requirements with enhancing business value and optimizing outcomes. We deliver enhanced value through strategic transformation, end-to-end implementation, and a focus on business-as-usual sustainability across processes, controls, and data & analytic infrastructures.

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 in Finance, Economics, Business, Statistics, Mathematics, or related field
  • 7+ years of experience in the financial services or consulting industry, supporting one or more of financial risk/related areas: 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 capital markets is desirable
  • Strong relationship management skills, particularly the ability to build constructive and productive working relationships with clients and among Deloitte practitioners
  • Experience with business transformation, regulatory remediation or change management initiatives as a result of strategic, regulatory, risk-related, technological, or operational evolutions
  • Understanding of business processes, regulatory requirements, technology and governance for financial institutions
  • 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
  • Strong oral and written communication skills, including the ability to lead business proposal development and sales presentations
  • Ability to travel up to 50%, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available

Preferred Qualifications

  • Advanced degree and/or certification (e.g., Quant MS, MBA, FRM, CFA, CRCM, CPA, PMP).
  • Expertise in one or more Financial Risk domains:
    • Credit Risk: Underwriting and portfolio credit risk across products (e.g., PD/LGD/EAD modeling support, credit policy/scorecards, risk rating systems, credit review/QA, allowance/CECL support, concentration/limit monitoring, early warning & remediation).
    • Liquidity Risk: Treasury liquidity risk management and reporting (e.g., liquidity stress testing (LST), Liquidity Coverage Ratio (LCR), Net Stable Funding Ratio (NSFR), FR 2052a, contingency funding plans, intraday liquidity, collateral & cash management, asset-liability management (ALM)).
    • Market Risk: Market and interest rate risk management practices (e.g., interest rate risk in the banking book (IRRBB) measurement, sensitivities/scenario analysis, model validation support, limit frameworks, capital markets product exposure understanding, controls and governance).
    • Capital Management / Stress Testing: Capital planning and enterprise stress testing execution (e.g., scenario design support, model methodology governance, results aggregation, capital actions analysis, documentation and control testing, linkage to balance sheet and risk appetite, climate stress testing considerations).
  • Strong understanding of end-to-end banking products/operations (deposits, cards, lending, underwriting; credit products and servicing).
  • Subject matter expertise in one or more financial services areas (Retail, Commercial, Transaction, Wholesale, Cards & Payments, Wealth/Investment Mgmt, Capital Markets, Real Estate, FinTech/PE).
  • Prior experience in risk management role or at a U.S. banking regulator.
  • Familiarity with key regulatory initiatives and supervisory ecosystem (e.g., Dodd-Frank; FRB/Fed, OCC, CFTC), plus strong grasp of associated models, data, p...

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