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Quant Analytics Jobs in Connecticut (NOW HIRING)

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 ...

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 ...

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Quant Analytics information

What is the difference between Quant Analytics vs Data Analyst?

AspectQuant AnalyticsData Analyst
Required CredentialsDegree in finance, mathematics, or related fields; often requires programming skillsDegree in statistics, business, or related fields; may require basic programming knowledge
Work EnvironmentFinancial firms, hedge funds, investment banksCorporate, marketing, healthcare, and other industries
Job FocusDeveloping complex models for trading and risk managementInterpreting data to inform business decisions and reporting

Quant Analytics professionals focus on building advanced financial models and algorithms primarily in finance and trading environments. Data Analysts interpret and visualize data to support business strategies across various industries. While both roles involve data handling, Quant Analytics emphasizes quantitative modeling and programming, whereas Data Analysts focus on data interpretation and reporting.

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

To thrive in Quant Analytics, you need strong quantitative skills, advanced knowledge of mathematics and statistics, and often a degree in fields like mathematics, physics, engineering, or finance. Familiarity with programming languages such as Python, R, or MATLAB, as well as experience with data analysis tools and financial modeling software, is typically required. Analytical thinking, attention to detail, and effective communication are crucial soft skills for interpreting complex data and conveying insights to stakeholders. These skills and qualities are vital for developing robust quantitative models that support informed decision-making in fast-paced financial environments.

What are Quant Analytics?

Quant Analytics, short for quantitative analytics, refers to the use of mathematical models, statistical methods, and computational techniques to analyze financial data and inform investment decisions. Professionals in this field, known as quantitative analysts or 'quants,' develop and implement algorithms for risk management, pricing, trading strategies, and portfolio management. Quant Analytics is widely used in banks, hedge funds, and investment firms to gain insights from large data sets and optimize financial performance. The role typically requires strong skills in mathematics, programming, and finance.

Is a quant analyst high paying?

Quant analysts typically earn high salaries due to their specialized skills in mathematics, programming, and finance. Compensation often includes bonuses and incentives, especially in financial firms or hedge funds, making it a lucrative career path for those with advanced quantitative expertise.

What is quant analytics salary?

The salary for a quant analyst typically ranges from $80,000 to $150,000 annually, depending on experience, education, and location. Senior roles or those at top financial firms can earn over $200,000, often supplemented with bonuses and performance incentives. Skills in programming, statistical analysis, and financial modeling are highly valued in this field.

What does a quant analyst do?

A quant analyst uses mathematical models and statistical techniques to analyze financial data and develop trading strategies. They often work with programming languages like Python or R and tools such as Excel or MATLAB to identify market opportunities and manage risk. Their work supports investment decisions and requires strong analytical skills and knowledge of finance and mathematics.

What is a quantitative analytics job?

A quantitative analytics job involves using mathematical models, statistical techniques, and programming skills to analyze financial data, identify trends, and support decision-making. Professionals in this field often work with tools like Python, R, or SQL and require strong analytical and problem-solving abilities. The role is common in finance, investment firms, and risk management environments.

How do Quant Analytics professionals typically collaborate with other teams within a financial institution?

Quant Analytics professionals often work closely with traders, risk managers, and software engineers to develop, implement, and refine quantitative models. They translate complex data into actionable insights, which may influence trading strategies or risk assessment. Effective communication and teamwork are essential, as quants must present their findings in a way that is understandable and useful to non-technical stakeholders. Collaboration is usually facilitated through regular meetings, code reviews, and joint problem-solving sessions.
What are popular job titles related to Quant Analytics jobs in Connecticut? For Quant Analytics jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Quant Analytics jobs in Connecticut look for? The top searched job categories for Quant Analytics jobs in Connecticut are:
What cities in Connecticut are hiring for Quant Analytics jobs? Cities in Connecticut with the most Quant Analytics job openings:
Quant Analytics jobs near you
Infographic showing various Quant Analytics job openings in Connecticut as of July 2026, with employment types broken down into 90% Full Time, 6% Part Time, 1% Temporary, and 3% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution.

Quantitative Research Analyst, Smart Execution

Graham Capital Management, L.P.

Norwalk, CT • On-site

$175K - $250K/yr

Full-time

Medical, Life, Retirement

Re-posted 22 days ago

Job description

Graham Capital Management, L.P. (collectively with its affiliates, "Graham") is an alternative investment manager founded in 1994 by Kenneth G. Tropin. Specializing in discretionary and quantitative macro strategies, Graham is dedicated to delivering strong, uncorrelated returns across a wide range of market environments. As one of the industry's longest-standing global macro and trend-following managers, Graham remains committed to innovation, evolving its strategies through a robust investment, technology, and operational infrastructure. Graham harnesses the synergies between its discretionary and quantitative trading businesses to offer a broad suite of complementary alpha strategies, each built on the principles of thoughtful portfolio construction, active risk management, and diversification by design. Graham invests significant proprietary capital alongside its clients - including global institutions, endowments, foundations, family offices, sovereign wealth funds, investment management advisors, and qualified individual investors - reinforcing alignment of interests across all strategies.
The foundation of Graham's sustainability and success is the experience and contributions of its people. The firm seeks to cultivate talent, encourage the diversity of ideas, and respect the contributions of all. In turn, each employee shares in the responsibility of strengthening those around them.
Description
Graham Capital Management, L.P. is seeking a Quantitative Research Analyst with a specialization in Smart Execution and intraday trading signals to join our Quantitative Strategies team. The role is an excellent opportunity for a quantitative researcher to diversify their experience and join a dynamic team in a high-impact role.
Responsibilities
  • Develop and optimize proprietary execution strategies and intraday systematic strategies for Futures and FX
  • Perform market microstructure research to develop trading signals and understand execution costs
  • Understand, measure, and evaluate the performance of internal and broker execution algorithms
  • Collaborate with other team members to implement execution and intraday strategies and proactively provide feedback and ideas for improving our systems and processes
Requirements
  • MS or PhD in a quantitative field such as science, engineering, or finance
  • 3+ years of related experience at a bank, asset management, hedge fund, or prop trading firm
  • Successful track record of developing intraday alpha signals or execution algos in the Futures or FX space
  • Experience working with tick/order book data, microstructure signals, analyzing large datasets, and developing predictive statistical models
  • Advanced programming skills in languages suited for quantitative research and strategy implementation - preferably Python and C++
  • Experience with execution algos and intraday systematic strategies preferred
  • Exposure to machine learning and high-performance computing would be helpful in this role
  • Experience with options trading algorithms is a plus

This role requires commuting into our Rowayton CT office Mondays through Fridays.
Base Salary Range
The anticipated base salary range for this position is $175,000 to $250,000. The anticipated range is based on information as of the time this post was generated and does not include any discretionary bonus or benefits (see eligibility below). The applicable annual salary or hourly rate paid to a successful applicant will be determined based on multiple factors, including without limitation the nature and extent of prior experience, skills, and qualifications. This wage range may be modified in the future.
In addition, the employee who fills this role will be eligible for a discretionary annual bonus, as well as a wide array of benefit programs, such as medical and life insurance, 401(K) plans, and access to other healthcare programs.
Notes:
No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, benefits, or any other form of compensation that a particular employee may be eligible for remains in the Company's sole discretion unless and until paid and may be modified at Graham's sole discretion, consistent with the law.
Graham is committed to providing equal employment opportunity to all employees and applicants for employment without regard to their race, color, religious creed, gender, age, national origin, ancestry, alienage, citizenship status, handicap, disability, marital status, sexual orientation, gender identity, pregnancy, childbirth or other related conditions, military status, genetic information, or any other personal characteristics protected by applicable law. This policy applies to all terms and conditions of employment, including hiring, placement, promotion, layoff, termination, transfer, leave of absence and compensation.

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