Risk Analyst

Talcott Financial Group; Hartford (CT); Hybrid; USD 60,000 - 80,000; Full time

Job summary

Talcott Financial Group in Hartford, Connecticut is seeking a Risk Analyst to support Enterprise Risk Management (ERM) reporting and analytics. The role involves creating and improving risk reports, monitoring key risk exposures, and suggesting process improvements.

The ideal candidate will have a Bachelor’s degree in a quantitative field and at least 1 year of relevant experience. Proficiency in Excel, VBA, and SQL is required, along with strong analytical skills and effective communication abilities.

Qualifications

• Minimum of 1 year of experience in insurance, asset management or financial analytics.
• Strong attention to detail and ability to manage multiple deliverables.
• Effective communication skills to explain analytical results clearly.

Responsibilities

• Support the production of recurring ERM reports across key risk areas.
• Assist in analyzing changes in risk metrics and investigating drivers of volatility.
• Develop familiarity with data sources, methodologies, and controls.

Skills

Analytical skills

Proficiency in Excel

VBA

SQL

Education

Bachelor’s degree in actuarial science, finance, risk management, or a related quantitative field

Tools

Python

Power BI

Job description

Connecticut Office, 1 American Row, Hartford, Connecticut, United States of America

Charlotte, NC, USA

Job Description

Posted Thursday, June 11, 2026 at 4:00 AM

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.