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Quantitative 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 ...

Citadel

$4.5K - $5.8K/wk

Quantitative Researcher Analysts play a key role in this mission by developing next-generation models and trading approaches for a range of investment strategies. You'll get to challenge the ...

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Showing results 21-40

All JobsQuantitative JobsQuantitative Jobs in Connecticut

Quantitative information

See Connecticut salary details

$29.5K

$86.2K

$138.9K

How much do quantitative jobs pay per year?

As of Aug 9, 2026, the average yearly pay for quantitative in Connecticut is $86,167.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,300.00 and $113,200.00 per year, depending on experience, location, and employer.

What is a quantitative job?

Quantitative jobs, often referred to as 'Quant' roles, involve the application of mathematical, statistical, and computational techniques to analyze data and solve complex problems, particularly in finance, investment banking, and technology sectors. Professionals in these roles develop and implement models to inform trading strategies, manage risk, or optimize investment portfolios. Quants typically have strong backgrounds in mathematics, statistics, computer science, or engineering and use programming languages such as Python, R, or C++. These positions are highly analytical and require a deep understanding of financial markets, data analysis, and quantitative modeling.

What is the difference between Quantitative vs Quantitative Analyst?

AspectQuantitativeQuantitative Analyst
Required CredentialsMathematics, statistics, or related degreesMathematics, statistics, or finance certifications
Work EnvironmentResearch, data analysis, modelingFinancial firms, investment banks, hedge funds
Industry UsageBroadly used in finance, tech, researchPrimarily in finance and investment sectors
Common Search IntentGeneral quantitative rolesSpecific finance-focused roles

Quantitative refers broadly to roles involving mathematical and statistical analysis across various industries. A Quantitative Analyst, however, is a specialized role within finance that applies quantitative methods to develop trading strategies, risk management, and financial modeling. While both share similar credentials and work environments, the analyst role is more industry-specific, focusing on financial markets and investment decision-making.

What are the key skills and qualifications needed to thrive as a quantitative analyst?

To thrive as a Quantitative Analyst, you need strong mathematical, statistical, and analytical skills, usually supported by a degree in mathematics, finance, engineering, or a related field. Proficiency with programming languages like Python or R, experience with data analysis tools, and familiarity with financial modeling platforms are typically required. Exceptional problem-solving abilities, attention to detail, and effective communication skills help individuals excel in this role. These competencies are crucial for developing accurate models, interpreting complex data, and driving data-driven decisions in finance and business.

What are some common challenges faced by quantitative analysts when working with large datasets in finance?

Quantitative analysts often deal with vast and complex datasets, which can present challenges such as data quality issues, integration of disparate data sources, and ensuring computational efficiency. Successfully cleaning and validating data is essential to produce reliable models. Additionally, quant analysts must stay updated with the latest programming tools and statistical techniques to optimize data processing and derive meaningful insights, often collaborating closely with IT and software engineering teams to implement scalable solutions.
What are the most commonly searched types of Quantitative jobs in Connecticut? The most popular types of Quantitative jobs in Connecticut are:
What cities in Connecticut are hiring for Quantitative jobs? Cities in Connecticut with the most Quantitative job openings:
Quantitative jobs near you
Infographic showing various Quantitative job openings in Connecticut as of August 2026, with employment types broken down into 100% Full Time. Highlights an 88% In-person, 6% Hybrid, and 6% Remote job distribution, with an average salary of $86,167 per year, or $41.4 per hour.

Quantitative Researcher - Experienced Hires (USA)

Trexquant Investment

Stamford, CT • On-site

$130K - $200K/yr

Full-time

Medical, Dental, Vision

Re-posted 12 days ago

Job description

Trexquant is a systematic hedge fund where we use thousands of statistical algorithms to trade equity, futures and other markets globally. Starting with many data sets, we develop large sets of features and use various machine learning methods to discover trading signals and effectively combine them into market-neutral portfolios. We are looking for data scientists, physicists, engineers, economists and programmers to develop the next generation of machine learning strategies that can accurately predict the future movements of liquid financial assets.

As a Quantitative Researcher you will be involved in developing market-neutral signals, parsing and analyzing large data sets and collaborating with the Data and Strategy Research team to build a diverse set of predictive models. While we are open to researchers in any asset class we are currently focusing on roles in equities, futures, commodities, and event driven research.

Responsibilities
  • Design, implement, and optimize various machine learning models aimed at predicting liquid assets using a wide set of financial data and a vast library of trading signals.
  • Parse and analyze large datasets to identify actionable alpha signals and develop strategies for systematic trading.
  • Investigate and implement state-of-the-art academic research in the field of quantitative finance.
  • Continuously innovate and improve existing models by integrating new data sources and advanced techniques to boost performance and scalability.
  • Collaborate closely with a team of experienced quantitative researchers to conduct experiments, backtest hypotheses, and refine strategies through rigorous simulations and data analysis.

Requirements

  • BS/MS/PhD degree in any stem field
  • 2+ years in a systematic trading environment
  • Passion for machine learning
  • Fluent with programming languages like Python
  • Strong problem-solving skills
  • Ability to work effectively both as an individual and a team player

Benefits

  • Competitive salary plus bonus based on individual and company performance
  • Collaborative, Casual, and friendly work environment
  • PPO Health, dental and vision insurance premiums fully covered for you and your dependents
  • Pre-tax commuter benefits
  • Weekly company meals

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