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Associate Quantitative Risk Analyst Jobs in Connecticut

Associate Risk Analyst

Hartford, CT · On-site

$69K - $103K/yr

Assoc Risk Analyst - KR08AE We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to ...

Senior Risk Analyst

Hartford, CT · 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 ...

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 ...

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Associate Quantitative Risk Analyst information

What is an associate quantitative risk analyst?

Associate Quantitative Risk Analysts are entry- to mid-level professionals who help financial institutions and organizations assess and manage risk using mathematical models and statistical techniques. They analyze data to identify potential risks, develop risk management strategies, and support decision-making processes. Their work often involves using quantitative software, working with large datasets, and collaborating with other risk management and finance professionals. Typically, they have backgrounds in mathematics, statistics, finance, or related fields.

What are the key skills and qualifications needed to thrive as an associate quantitative risk analyst?

To thrive as an Associate Quantitative Risk Analyst, you need a strong background in mathematics, statistics, finance, and data analysis, typically supported by a relevant degree such as in finance, mathematics, or economics. Familiarity with statistical software (like R, SAS, or Python), financial modeling tools, and possibly certifications such as FRM or CFA is highly valuable. Strong analytical thinking, attention to detail, and effective communication are crucial soft skills for interpreting complex data and presenting findings. These competencies are essential for accurately assessing financial risks and supporting informed decision-making in risk management environments.

What are some common challenges faced by associate quantitative risk analysts in their first year, and how can they overcome them?

In their first year, Associate Quantitative Risk Analysts often encounter challenges such as adapting to complex financial models, learning to interpret large datasets, and effectively communicating technical findings to non-technical stakeholders. Navigating regulatory requirements and understanding the company's risk management framework can also be demanding. To overcome these obstacles, new analysts should proactively seek mentorship, participate in team discussions, and leverage internal training resources to build both technical and soft skills. Regular collaboration with colleagues in risk, finance, and IT departments can also provide valuable insights and accelerate professional growth.

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

AspectAssociate Quantitative Risk AnalystCredit Risk Analyst
Required CredentialsBachelor's in finance, economics, or related field; often some familiarity with quantitative methodsBachelor's in finance, economics, or related field; certifications like CFA or FRM are common
Work EnvironmentFinancial institutions, risk management teams, quantitative departmentsBanking, lending institutions, credit departments
Employer & Industry UsageUsed in risk modeling, data analysis, and quantitative assessmentsFocuses on assessing creditworthiness and loan risk

The Associate Quantitative Risk Analyst primarily focuses on developing models and analyzing data to measure financial risks, often working with quantitative tools. In contrast, a Credit Risk Analyst concentrates on evaluating the creditworthiness of borrowers and managing credit risk. While both roles require similar educational backgrounds and work within financial institutions, their core responsibilities differ—one emphasizes quantitative modeling, the other credit assessment.

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 Associate Quantitative Risk Analyst jobs in Connecticut?

For Associate Quantitative Risk Analyst jobs in Connecticut, the most frequently searched job titles are:

What job categories do people searching Associate Quantitative Risk Analyst jobs in Connecticut look for?

The top searched job categories for Associate Quantitative Risk Analyst jobs in Connecticut are:

What cities in Connecticut are hiring for Associate Quantitative Risk Analyst jobs?

Cities in Connecticut with the most Associate Quantitative Risk Analyst job openings:

Senior Analyst, Quantitative Risk

Mitsubishi HC Capital America Inc

Norwalk, CT • On-site

$110K - $135K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago


Job description

Position Overview:

The position supports the measurement and forecasting of risk for equipment finance portfolios, both retail and wholesale. Independently performs advanced quantitative analyses. Leads projects to develop models, analyses, and reports that measure credit, residual value, and portfolio risk. Provides thought leadership on analytical approaches and mentors junior analysts.

Essential Duties and Responsibilities:

  • Analyze portfolio trends, risk concentrations, and emerging risks. Work with large datasets related to leases, loans, collateral values, and customer performance.
  • Develop credit, residual value, and/or portfolio risk models and interpret outputs. Lead model documentation, testing, and model governance activities.
  • Contribute to a team that reviews and challenges business-leader decisions that influence portfolio composition and risk.
  • Design and execute stress testing, scenario analysis, and sensitivity analysis.
  • Lead the automation of risk reports and dashboards.
  • Mentor and review work performed by Analysts.

Qualifications/Competencies:

  • Master’s degree in financial engineering, statistics, mathematics, engineering, econometrics, or a related field. Bachelor’s degree is acceptable with compensatory experience.
  • 3–5 years of quantitative, analytics, or risk experience
  • Proficiency in Excel and SQL or Python.
  • Solid understanding of leasing, asset finance, or secured lending concepts.
  • Ability to present complex analyses to non-technical audiences.

Working Hours:

  • This is a full-time position based on a 40-hour work week (35-hour for Canada) but may vary to meet business needs.

Physical Demands:

  • Digital dexterity and hand/eye coordination in operation of office equipment
  • Ability to speak to and hear customers and/or other employees via phone or in person
  • Body motor skills sufficient to move from one office location to another

This job description does not constitute an employment contract, implied or otherwise, other than an “at will” relationship and is subject to change by the employer as the needs of the employer and requirements of the job change.


The position is exempt and the salary will be between $110,000 and $135,000 with an opportunity to earn a discretionary annual bonus.

The salary range is determined and based on internal equity, market data/ranges, applicant's skills, prior relevant experience and education.

Additional benefits:

- Medical, Dental, and vision plans

- 401(k) and matching

- Paid Time Off

- Company Paid Life Insurance

- Employee Assistance Program

- Training and Development Opportunities

- Employee Discounts