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Model Risk Manager Jobs in Connecticut (NOW HIRING)

OFSAA data modeler

Norwalk, CT

$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 ...

Clinical Risk Manager

Windsor, CT · On-site

$84K - $140K/yr

Swiss Re uses a hybrid work model requiring at least three days in the office each week. This ... A background in a Clinical Risk Management position is encouraged but will consider qualified ...

Clinical Risk Manager

Windsor, CT · Hybrid

$84K - $140K/yr

Swiss Re uses a hybrid work model requiring at least three days in the office each week. This ... A background in a Clinical Risk Management position is encouraged but will consider qualified ...

BLP Intern - Risk

Stamford, CT

$16 - $21.25/hr

Risk Management BLP Internship Experience: What You'll Accomplish This internship is for students ... Model Market and Liquidity Risk What do we look for in all potential BLP Interns? * Ability to ...

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 ...

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Showing results 1-20

Model Risk Manager information

See Connecticut salary details

$49K

$106.1K

$161.7K

How much do model risk manager jobs pay per year?

As of Jul 10, 2026, the average yearly pay for model risk manager in Connecticut is $106,122.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,600.00 and $122,700.00 per year, depending on experience, location, and employer.

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 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 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 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 are popular job titles related to Model Risk Manager jobs in Connecticut? For Model Risk Manager jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Model Risk Manager jobs in Connecticut look for? The top searched job categories for Model Risk Manager jobs in Connecticut are:
What cities in Connecticut are hiring for Model Risk Manager jobs? Cities in Connecticut with the most Model Risk Manager job openings:
Infographic showing various Model Risk Manager job openings in Connecticut as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $106,122 per year, or $51 per hour.
OFSAA data modeler

$55 - $71.25/hr

Full-time

Re-posted 7 days ago


Job description

Company Description

First IT Solutions

Job Description


At least 3-7 years of relevant experience in OFSAA for Banking Industry

Strong Functional knowledge on Financial Risk management, MRM, Liquidity risk, Basel regulation

Exposure to at least one risk management product in BFS space

Ability to effectively liaise with multiple stakeholders both from business and IT.

Ability to analyze, define and document requirements related to data, workflow, risk process, interfaces with other systems

Ability to test the system thoroughly and ensure complete compliance with expected requirements.

Ability to manage change request and perform impact analysis on the existing requirement.

Ability to ensure software quality before release into production

Strong requirement collection, analysis and documentation skills

Exposure to use of requirement management tools

Strong knowledge on Data governance, data quality, Data Profiling & Data analysis related to Regulatory Reporting

OFSAA Implementation experience for regulatory reporting 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 validation, Quality & SIT

Working knowledge of BI applications


Desirable Skill Set : ETL/Informatica

Qualifications

Bachelor or higher

Additional Information

Job Status: Permanent

Share the Profiles to mdanish(at)1stitsolutions.com

Contact: 703-349-1004

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