1

Quantitative Risk Analyst Intern Jobs in Connecticut

Risk Analyst

Hartford, CT ยท 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 ...

$4.5K - $5.8K/wk

Quantitative Researcher Analysts play a key role in this mission by developing next-generation ... As an intern, you'll dive into research through an 11-week program that will allow you to ...

Senior Risk Analyst

Hartford, CT ยท On-site

$107K - $127K/yr

Bachelor's degree in actuarial science, finance, risk management, or a related quantitative field * Minimum of 4 years of experience in insurance, asset management or financial analytics * An ASA ...

We are seeking an intern to join our Quantitative Analysis Department for FALL 2026. Primary ... Risk Management: Loss Tracing Data Analysis To support risk management and mitigation planning, the ...

We are seeking an intern to join our Quantitative Analysis Department for FALL 2026. Primary ... Risk Management: Loss Tracing Data Analysis To support risk management and mitigation planning, the ...

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 ...

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 ...

next page

Showing results 1-20

Quantitative Risk Analyst Intern information

What are the key skills and qualifications needed to thrive as a quantitative risk analyst intern, and why are they important?

To thrive as a Quantitative Risk Analyst Intern, you need a solid background in mathematics, statistics, and finance, often supported by progress toward a relevant degree such as finance, economics, or applied mathematics. Familiarity with programming languages like Python or R, statistical analysis tools, and risk management platforms such as SAS or MATLAB is typically expected. Strong analytical thinking, attention to detail, and effective communication skills help interns interpret complex data and present findings clearly. These skills are crucial for accurately assessing risks, supporting data-driven decision-making, and contributing to effective risk management strategies.

What does a quantitative risk analyst intern do?

A Quantitative Risk Analyst Intern supports the risk management team by analyzing financial data, building statistical models, and assessing potential risks that could impact an organization. They use mathematical and statistical techniques to identify, measure, and monitor risks associated with investments, market movements, or operational activities. Interns often help with data collection, programming (using tools like Python, R, or Excel), and preparing reports for senior analysts. This role provides valuable hands-on experience in applying quantitative methods to real-world financial risk scenarios.

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

AspectQuantitative Risk Analyst InternQuantitative Risk Analyst
Required credentialsTypically pursuing or recent graduate with a degree in finance, economics, or related fieldBachelor's or master's degree in a relevant field, often with some professional experience
Work environmentInternship setting, often part-time or summer program within financial institutionsFull-time role within banks, investment firms, or insurance companies
Employer and industry usageUsed in internship programs across finance and risk management firmsStandard position in risk management departments of financial services

The main difference between a Quantitative Risk Analyst Intern and a Quantitative Risk Analyst is experience level and responsibility. Interns are typically students gaining exposure, while analysts are full-time professionals responsible for assessing and managing risk strategies.

What types of projects and responsibilities can a quantitative risk analyst intern expect during their internship?

As a Quantitative Risk Analyst Intern, you can expect to work on projects involving data analysis, risk modeling, and validation of existing financial models. You may assist in stress testing portfolios, researching risk factors, and automating data processes under the guidance of senior analysts. Interns typically collaborate closely with risk management, trading, and IT teams, gaining hands-on experience with industry-standard tools and methodologies. This role offers an excellent opportunity to develop technical skills and an understanding of how risk is measured and managed in financial institutions.
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 Intern jobs in Connecticut? For Quantitative Risk Analyst Intern jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Quantitative Risk Analyst Intern jobs in Connecticut look for? The top searched job categories for Quantitative Risk Analyst Intern jobs in Connecticut are:
What cities in Connecticut are hiring for Quantitative Risk Analyst Intern jobs? Cities in Connecticut with the most Quantitative Risk Analyst Intern job openings:
Infographic showing various Quantitative Risk Analyst Intern job openings in Connecticut as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution.

$70K - $90K/yr

Full-time

Re-posted yesterday


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.