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Quantitative Jobs in Connecticut (NOW HIRING)

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Quantitative information

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$29.5K

$86.2K

$138.9K

How much do quantitative jobs pay per year?

As of Aug 3, 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 are Quantitative jobs?

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.

How much do quants get paid?

Quantitative analysts, or quants, typically earn between $80,000 and $200,000 annually, with senior roles and those at top firms earning significantly more. Compensation often includes bonuses and depends on experience, education, and the complexity of models used. Skills in programming, mathematics, and finance are highly valued in this field.

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, and why are they important?

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 is a quantitative job?

A quantitative job involves analyzing numerical data to support decision-making, often in finance, research, or data analysis roles. These jobs typically require strong skills in mathematics, statistics, and tools like Excel or programming languages such as Python or R.

What jobs pay 500,000 a year in the US?

In the field of quantitative analysis, senior roles such as quantitative hedge fund managers, chief investment officers, and senior quantitative researchers can earn $500,000 or more annually, especially with bonuses and profit sharing. These positions typically require advanced degrees, strong programming skills, and extensive experience in finance, data analysis, and risk management.

What jobs make $1,000,000 a year?

In the field of quantitative analysis, roles such as hedge fund managers, proprietary traders, and senior quantitative researchers can earn $1,000,000 or more annually, often through a combination of base salary, bonuses, and profit sharing. These positions typically require advanced degrees, strong programming skills, and experience in financial modeling or algorithm development.
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 July 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 Developer - 2452889

2Bridge Partners

Stamford, CT • Hybrid

$200K - $250K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 6 days ago

Job description

2Bridge has been engaged in the search for a direct-hire Quant Developer for an innovative FinTech company. The company has secured a significant Series A funding round and is expanding its team. It is looking for a Senior Quant Developer to enhance its technological capabilities as it scales.


Role Summary:

You'll play a crucial role in developing quantitative models and algorithms vital for the company’s financial products and services.


Compensation and Benefits: Our client offers Total Compensation between 250,000 and 350,000, split between a base and performance-based bonus. For the right person, there is potential for equity. They also offer a comprehensive benefits package including Medical, Dental, Vision, 401k, 24 days PTO, and all NYSE Holidays, Etc. This is as hybrid role, onsite, one day a week, in one of their offices in either NYC or Stamford.


Responsibilities:

  • Develop and enhance quantitative models and algorithms for performance and scalability.
  • Collaborate with teams to integrate quantitative solutions into broader system architectures.
  • Validate models for correctness and edge-cases.
  • Maintain market data handlers, data models, and valuation cache.
  • Stay updated with industry trends and incorporate advanced quantitative techniques as applicable.


Qualifications:

  • Bachelor’s or preferably an MS in Quantitative Finance, Computer Science, Mathematics, or a related field.
  • 3-5 years experience in Quantitative Development within financial services, specifically with Trade Cost Analysis in Fixed Income, Corporate Bonds, non-vanilla swaps, and other OTC Derivatives.
  • 5 years experience in Java or C#, .Net, Bonus points for expertise in Python.
  • Extensive experience with Analytics Libraries such as QuantLib, FinCad, Numerix, etc.
  • Experience with time series databases like OneTick, KDB, InfluxDB.
  • Experience with machine learning algorithms and their applications in financial modeling.