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Quantitative Risk Analyst Jobs in Connecticut (NOW HIRING)

Talcott Financial Group

Risk Analyst

Hartford, CT · On-site

$70K - $90K/yr

Bachelor's degree in actuarial science, finance, risk management, or a related quantitative field * Minimum of 1 year of experience in insurance, asset management or financial analytics * Strong ...

AQR

2027 Risk Summer Analyst

Greenwich, CT · On-site

The Summer Analyst will contribute to a variety of the Risk team's functions and gain practical ... Provide quantitative support to risk managers, including monitoring of investment risk and market ...

AQR

2027 Risk Summer Analyst

Greenwich, CT

The Summer Analyst will contribute to a variety of the Risk team's functions and gain practical ... Provide quantitative support to risk managers, including monitoring of investment risk and market ...

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All JobsQuantitative Risk Analyst JobsQuantitative Risk Analyst Jobs in Connecticut

Quantitative Risk Analyst information

See Connecticut salary details

$53.7K

$127.4K

$228.3K

How much do quantitative risk analyst jobs pay per year?

As of Jul 22, 2026, the average yearly pay for quantitative risk analyst in Connecticut is $127,356.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,100.00 and $138,400.00 per year, depending on experience, location, and employer.

What are some common challenges a Quantitative Risk Analyst faces when integrating new data sources into risk models?

Quantitative Risk Analysts often encounter challenges related to data quality, consistency, and compatibility when integrating new data sources into risk models. Ensuring that the data is accurate, timely, and relevant requires rigorous validation and sometimes complex data cleaning processes. Additionally, analysts must adapt existing risk models to accommodate new variables, which may involve re-calibrating parameters or even restructuring parts of the model. Effective collaboration with IT and data engineering teams is essential to streamline data integration and maintain model reliability.

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

To thrive as a Quantitative Risk Analyst, you need strong analytical and mathematical skills, experience with statistical modeling, and typically a degree in finance, mathematics, statistics, or a related field. Proficiency in programming languages such as Python, R, or MATLAB, and familiarity with risk management systems and financial databases are important technical requirements. Attention to detail, problem-solving abilities, and effective communication are vital soft skills for explaining complex analyses to stakeholders. These skills are crucial for accurately identifying, measuring, and mitigating financial risks in dynamic market environments.

What is the difference between Quantitative Risk Analyst vs Credit Risk Analyst?

AspectQuantitative Risk AnalystCredit Risk Analyst
Required CredentialsDegree in finance, economics, or mathematics; certifications like FRM or CFADegree in finance, economics, or related; certifications like FRM or CFA often preferred
Work EnvironmentFinancial institutions, investment firms, risk management departmentsBanks, lending institutions, credit agencies
Employer & Industry UsageUsed across finance sectors for risk modeling and analysisPrimarily in banking and lending for assessing creditworthiness
Comparison Search IntentUnderstanding differences in risk analysis rolesDistinguishing credit-specific risk roles from broader risk analysis

While both roles involve risk assessment and require similar credentials, a Quantitative Risk Analyst focuses on modeling and analyzing various financial risks using quantitative methods across multiple risk types. In contrast, a Credit Risk Analyst specializes in evaluating creditworthiness and managing credit risk specifically within lending and banking sectors.

What is a Quantitative Risk Analyst?

A Quantitative Risk Analyst is a professional who uses mathematical models, statistical techniques, and data analysis to assess and manage financial risks within an organization. They typically evaluate potential losses from market movements, credit defaults, or operational failures and help develop strategies to mitigate those risks. Their work is crucial in industries such as banking, investment, insurance, and asset management, where understanding and controlling risk is essential for financial stability and compliance. Quantitative Risk Analysts often work with complex financial instruments and large datasets, requiring strong analytical and programming skills.
What are the most commonly searched types of Quantitative Risk Analyst jobs in Connecticut? The most popular types of Quantitative Risk Analyst jobs in Connecticut are:
What are popular job titles related to Quantitative Risk Analyst jobs in Connecticut? For Quantitative Risk Analyst jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Quantitative Risk Analyst jobs in Connecticut look for? The top searched job categories for Quantitative Risk Analyst jobs in Connecticut are:
Quantitative Risk Analyst jobs near you
Infographic showing various Quantitative Risk Analyst job openings in Connecticut as of July 2026, with employment types broken down into 91% Full Time, 5% Part Time, 1% Temporary, and 3% Contract. Highlights an 82% Physical, 8% Hybrid, and 10% Remote job distribution, with an average salary of $127,356 per year, or $61.2 per hour.
Risk Analyst

Risk Analyst

Talcott Financial Group

Hartford, CT • On-site

$70K - $90K/yr

Full-time

Posted 11 days ago

Job description

Overview:
Enterprise Risk Management (ERM) operates as an independent second line of defense, responsible for maintaining and enforcing Talcott's risk management framework across all subsidiaries. One of our key accountabilities is to monitor key exposures across market, credit, liquidity, and insurance risks. We produce actionable, data-driven risk insights This team is composed of actuaries, CFA charter holders, and risk professionals. The Enterprise Risk Management team partners closely with other business partners in Investment Management, Finance, and Actuarial functions. Our selected candidate will support ERM's reporting and analytics function as they focus on producing and/or enhancing recurring risk reports. The Risk Analyst will cultivate a strong understanding of underlying data, methodologies, and risk concepts as they monitor key risk exposures.
Additionally, this individual will take ownership of key risk reporting processes while supporting changes in risk metrics. They might be asked to suggest automated reporting process improvements or updates. Our Risk Analyst position will offer the selected candidate exposure to Senior ERM Leadership such as the Head of Risk Reporting and the Chief Risk Officer. The selected candidate will work on a hybrid in-office schedule at either our Hartford, CT office or our Charlotte, NC office.
Responsibilities:
  • Support the production of recurring ERM reports across key risk areas, including mark-to-market exposure, issuer concentration limits, WARF metrics, hedge effectiveness, liquidity, and stress testing
  • Assist in analyzing changes in risk metrics and investigating drivers of volatility or limit utilization
  • Develop familiarity with data sources, methodologies, and controls underlying ERM reporting
  • Support liquidity analysis through cash flow monitoring and scenario-based reporting
  • Monitor portfolio exposures relative to risk appetite, limits, and investment guidelines
  • Assist in updating reporting frameworks to incorporate new transactions (e.g., block and flow reinsurance deals)
  • Contribute to automation and process improvement initiatives using tools such as SQL, VBA, Python, or BI platforms
  • Partner with Investment Management, Finance, and Actuarial teams to ensure consistency and accuracy of inputs

Qualifications:
  • Bachelor's degree in actuarial science, finance, risk management, or a related quantitative field
  • Minimum of 1 year of experience in insurance, asset management or financial analytics
  • Strong analytical skills and demonstrated ability to work with large datasets
  • Proficiency in Excel, VBA, and SQL are required
  • Exposure to Python, Power BI, or similar tools is a plus
  • Strong attention to detail and ability to manage multiple deliverables
  • Effective communication skills, with the ability to explain analytical results clearly
  • Excellent communication and interpersonal skills, with the ability to collaborate with various stakeholders at all levels within the organization
  • Understand interdependencies and workflow between functions and geographies within a group framework
  • Self-reliant and capable of quickly learning new concepts while remaining adaptable to changing needs on a fast-paced team
  • Results-oriented with a demonstrated ability to work under tight deadlines in a high-performance environment.

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