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Quant Jobs in Connecticut (NOW HIRING)

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Quant information

See Connecticut salary details

$93.2K

$161.5K

$246.9K

How much do quant jobs pay per year?

As of Sep 3, 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 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 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 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 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 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.

Are quant jobs high paying?

Quant jobs, which involve quantitative analysis and modeling, are generally high paying within the finance industry due to the specialized skills required, such as programming, mathematics, and data analysis. Salaries can vary based on experience, location, and the firm, but they are often among the top-paying roles in finance and technology sectors.

What are the jobs in quant?

Quant jobs typically involve developing and implementing mathematical models to analyze financial data, manage risk, and inform trading strategies. Common roles include quantitative analyst, quantitative researcher, quantitative developer, and risk manager, often requiring strong skills in programming, statistics, and finance. These positions are prevalent in investment banks, hedge funds, and asset management firms.

What are the most commonly searched types of Quant jobs in Connecticut?

The most popular types of Quant jobs in Connecticut are:

Infographic showing various Quant job openings in Connecticut as of August 2026, with employment types broken down into 92% Full Time, 6% Part Time, 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 Researcher - Execution (USA)

Trexquant Investment

Stamford, CT โ€ข On-site

$130K - $200K/yr

Full-time

Medical, Dental, Vision

Re-posted 13 days ago


Job description

We are seeking a Quantitative Researcher to join our Execution team. In this role, you will be directly responsible for compiling and analyzing execution data in several asset classes, working on market impact models and trade cost analysis to minimize transaction costs and enhance performance of company portfolios. You will work closely with teams of traders, researchers, and operations to develop, test, and refine execution strategies that drive continuous improvement of our trading operations.

Responsibilities:

  • Optimize daily execution of multi-billion notionals across equities, futures, and expanding list of asset classes
  • Develop tools to continuously analyze execution data across various trading instruments
  • Manage and update trading cost and market impact models across all our asset classes
  • Extract actionable insights from recent execution performance along with years of history
  • Develop hypotheses and design studies to further improve our trading; present results to senior researchers 
  • Work with brokers to implement new execution strategies to further improve transaction costs and fill rates
  • Work with our Operations team to ensure best execution services provided by brokers

Requirements

  • Bachelor's, Master’s, or Ph.D. degrees in Mathematics, Statistical Modeling, Computer Science or other related STEM fields 
  • 3+ years of experience working in an electronic execution role within quantitative trading company
  • Strong quantitative skills, detail oriented, and proficiency in Python programming

Benefits

  • Competitive salary, plus bonus based on individual and company performance
  • Collaborative, casual, and friendly work environment while solving the hardest problems in the financial markets
  • PPO Health, dental and vision insurance premiums fully covered for you and your dependents

Applications are open for both Stamford and New York City offices, the latter with a planned opening in September 2026.

The base salary for this role is $130,000 to $200,000, and will be determined based on the candidate’s educational background and professional experience. Base salary is one component of Trexquant’s total compensation package, which may also include a discretionary, performance-based bonus. This position is classified as overtime-exempt.

Trexquant is an Equal Opportunity Employer