ZipRecruiter

Log In

1

Quant Jobs in Connecticut (NOW HIRING)

Group1001

Quantitative Analysis Intern

Stamford, CT · On-site

We are seeking an intern to join our Quantitative Analysis Department for FALL 2026. Primary responsibilities for this position include performing research and quantitative analysis to support ...

Group1001

Quantitative Analysis Intern

Stamford, CT · Hybrid

We are seeking an intern to join our Quantitative Analysis Department for FALL 2026. Primary responsibilities for this position include performing research and quantitative analysis to support ...

Trexquant Investment

Senior Data Engineer

Stamford, CT · On-site

$150K - $200K/yr

Working closely with quantitative researchers, data platform engineers, and infrastructure teams, this person will ensure that market, reference, and alternative data is accurate, reliable, and ...

previous page

Showing results 41-60

All JobsQuant JobsQuant Jobs in Connecticut

Quant information

See Connecticut salary details

$93.2K

$161.5K

$246.9K

How much do quant jobs pay per year?

As of Aug 8, 2026, the average yearly pay for quant in Connecticut is $161,461.00, according to ZipRecruiter salary data. Most workers in this role earn between $127,900.00 and $189,300.00 per year, depending on experience, location, and employer.

What does a quant do?

Quant refers to a quantitative analyst whose responsibilities are to research and analyze market trends in finance. As a quant, you research and decipher statistics and design financial models to help banks, insurance companies, and other finance-focused organizations assess and prevent their risk, make sound investments, and better understand pricing structures to increase profit. Your duties also include creating codes for programs that follow financial trends and patterns, recording data and analyses, and consulting with business leaders in an organization to offer suggestions to combat potential financial risks. Large financial institutions and firms with trading processes typically hire quants.

What is a quant?

Quants, short for quantitative analysts, are professionals who use mathematical models, statistics, and computational techniques to analyze financial data and develop trading strategies. They are typically employed by investment banks, hedge funds, asset management firms, and financial technology companies. Quants play a crucial role in pricing securities, managing risk, and optimizing portfolios. Their expertise is essential for making data-driven decisions in complex financial markets.

What are some common challenges faced by quants when collaborating with software developers and traders?

Quants often encounter challenges in bridging the gap between theoretical models and practical implementation. Effective communication is essential, as translating complex quantitative concepts into actionable trading strategies requires close collaboration with both software developers and traders. Misunderstandings can occur due to differences in technical language or priorities, so fostering a collaborative environment and being open to feedback is crucial. Regular meetings and clear documentation can help ensure that models are accurately implemented and aligned with trading objectives.

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

To thrive as a Quant, you need strong quantitative and analytical skills, typically supported by advanced degrees in mathematics, statistics, physics, or related fields. Proficiency with programming languages like Python or C++, financial modeling, and familiarity with tools such as MATLAB or R are essential, along with knowledge of financial markets. Exceptional problem-solving, attention to detail, and effective communication help Quants stand out in collaborative and high-stakes environments. These skills enable Quants to develop robust models and strategies that drive critical decision-making and risk management in finance.

What is the difference between Quant vs Data Analyst?

AspectQuantData Analyst
Required CredentialsDegree in Math, Finance, or Computer Science; often requires advanced degreesBachelor's in Statistics, Economics, or related field; sometimes requires certifications
Work EnvironmentFinancial firms, hedge funds, investment banksCorporations, consulting firms, market research
Employer & Industry UsagePrimarily in finance and tradingAcross various industries including finance, marketing, healthcare
Common Search & Comparison IntentUnderstanding quantitative roles in financeExploring data analysis careers

While both Quant and Data Analyst roles involve working with data, Quants focus on developing complex models for trading and risk management in finance, often requiring advanced degrees and specialized skills. Data Analysts typically interpret data to inform business decisions across industries, with a broader scope and different tools. The roles overlap in data handling but differ significantly in application and industry focus.

Do quants get paid well?

Quantitative analysts, or quants, typically earn high salaries due to their specialized skills in mathematics, programming, and finance. Compensation often includes base pay, bonuses, and profit-sharing, reflecting the demand for their expertise in trading, risk management, and financial modeling.
More about Quant jobs
What are the most commonly searched types of Quant jobs in Connecticut? The most popular types of Quant jobs in Connecticut are:
What are popular job titles related to Quant jobs in Connecticut? For Quant jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Quant jobs in Connecticut look for? The top searched job categories for Quant jobs in Connecticut are:
Quant jobs near you
Infographic showing various Quant job openings in Connecticut as of August 2026, with employment types broken down into 95% Full Time, 2% Part Time, 1% Temporary, and 2% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $161,461 per year, or $77.6 per hour.

Quantitative Analysis Intern

Group1001

Stamford, CT • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 16 days ago

Group1001 rating

9.5

Company rating: 9.5 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

7th of 303 rated insurance

Job description

Group 1001 is a consumer-centric, technology-driven family of insurance companies on a mission to deliver outstanding value and operational performance by combining financial strength and stability with deep insurance expertise and a can-do culture. Group1001's culture emphasizes the importance of collaboration, communication, core business focus, risk management, and striving for outcomes. This goal extends to how we hire and onboard our most valuable assets - our employees.
Why This Role Matters:
We are seeking an intern to join our Quantitative Analysis Department for FALL 2026. Primary responsibilities for this position include performing research and quantitative analysis to support product development.
This individual must have excellent analytical capability, strong collaboration and communication skills as well as the ability to deliver high quality work with strong attention to detail. This individual will report and work closely with RVI's Quantitative Analysis Team.
This is a full-time, 40-hour-per-week internship following a hybrid schedule, with two days required in-office each week.
How You'll Contribute:
  • Collect and process external data to support current market value, residual value forecast assessment, vehicle identification process, and assigned research topic
  • Analyze historical data and provide recommendations to enhance forecast processes
  • Conduct research on internship topic
  • Present research and findings of market trends and forecast processes

Research Topics:
Data Analysis for LVS
To support underwriting and market insight generation, the position will analyze datasets to identify behavioral patterns in used car ownership and derive operational limits from the data.
  • Investigate patterns in the dataset showing consumer behavior in used car ownership,
  • Identify practical limits and constraints observable from the data,
  • Check assumption from new-to-used ownership with a detailed distribution of ownership lag years,
  • Provide recommendations for incorporating findings into underwriting assumptions.

The topic will require statistical analysis, data visualization, and a final presentation on insights for underwriting use.
Risk Management: Loss Tracing Data Analysis
To support risk management and mitigation planning, the position will work on developing a loss tracing tool and performing deep-dive analyses of loss-related datasets.
  • Build a tool to trace losses through the claims process,
  • Analyze loss data, remarketing data, and behavioral data to identify patterns and root causes,
  • Extract insights into claim process efficiency and potential pain points,
  • Recommend actions to prepare for future risk mitigation strategies.

The topic will require tool development, data analysis, and a final presentation of findings and recommendations.
Operational Data Loading and Processing Automation
To support data operations for PV and related functions, the position will manage monthly loading and preprocessing of external datasets.
  • Handle monthly data loading,
  • Standardize and validate datasets for consistency and completeness,
  • Develop simple automation scripts to reduce manual effort,
  • Document the workflow for smooth handover and repeatability.

The topic will require basic data processing skills, attention to detail, and operational documentation.
CE Data Science Project
To provide CE with more actionable data for making better and more efficient decisions, the position will lead the CE data analysis project, focusing on uncovering relationships within the data to improve process efficiency and outcome quality.
  • Identify patterns and correlations within CE datasets to inform decision-making,
  • Develop analytical frameworks that guide process improvements,
  • Summarize insights to support a more efficient and data-driven process.

The topic will require exploratory analysis, and a final presentation of findings and actionable recommendations.
What We're Looking For:
  • Enrolled in a Graduate Degree program in actuarial science, statistics, economics, financial engineering, or other related fields
  • Minimum of one year completed in current Graduate program
  • 0-6 months experience in an analytical position
  • Knowledge/ experience in auto industry preferred
  • Knowledge/ experience in insurance industry preferred
  • Proficient in Microsoft Excel and working knowledge of Stata
  • Proficient in SQL
  • Proficient in Python, R or other statistical software
  • Excellent skills and/or experience in data analysis and management
  • Excellent grammar, written and spoken communication skills in English
  • Ability to work on assigned research topic and achieve results independently
  • Must have excellent communication skills
  • Strong interpersonal and collaboration skills
  • Ability to learn new tasks and skills quickly; comfortable asking questions and verifying information and requirements

Benefits Highlights:
Employees who meet benefit eligibility guidelines and work 30 hours or more weekly, have the ability to enroll in Group 1001's benefits package. Employees (and their families) are eligible to participate in the Company's comprehensive health, dental, and vision insurance plan options. Employees are also eligible for Basic and Supplemental Life Insurance, Short and Long-Term Disability. All employees (regardless of hours worked) have immediate access to the Company's Employee Assistance Program and wellness programs-no enrollment is required. Employees may also participate in the Company's 401K plan, with matching contributions by the Company.
Group 1001, and its affiliated companies, is strongly committed to providing a supportive work environment where employee differences are valued. Diversity is an essential ingredient in making Group 1001 a welcoming place to work and is fundamental in building a high-performance team. Diversity embodies all the differences that make us unique individuals. All employees share the responsibility for maintaining a workplace culture of dignity, respect, understanding and appreciation of individual and group differences.
#LI-ES1

What Group1001 employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply