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Quant Engineer Jobs in Connecticut (NOW HIRING)

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 ...

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 ...

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Quant Engineer information

What engineer makes $500,000 a year?

Quantitative engineers, or quants, working in finance or hedge funds with extensive experience, advanced degrees, and strong programming skills can earn $500,000 or more annually through base salary, bonuses, and profit sharing. Such compensation typically requires expertise in mathematics, programming languages like Python or C++, and a deep understanding of financial markets. These roles are often located in major financial hubs and demand high levels of performance and specialization.

How much do quants get paid?

Quantitative analysts, or quants, typically earn between $100,000 and $200,000 annually at entry to mid-level positions, with senior roles often exceeding $300,000 including bonuses. Compensation varies based on experience, location, firm size, and performance, with many quants also receiving performance-based bonuses and benefits. Strong skills in mathematics, programming, and finance are essential for higher salaries in this field.

What engineers make $300,000 a year?

Senior quantitative engineers, often called quant researchers or quant developers, can earn $300,000 or more annually, especially with experience, advanced degrees, and expertise in programming languages like Python or C++, as well as knowledge of financial markets and risk management. Compensation typically includes base salary, bonuses, and profit sharing, particularly in hedge funds, investment banks, and proprietary trading firms.

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

To thrive as a Quant Engineer, you need strong quantitative and programming skills, typically supported by a degree in mathematics, physics, computer science, or a related field. Proficiency in programming languages such as Python, C++, or Java, as well as familiarity with statistical analysis tools and financial modeling systems, is essential. Analytical thinking, problem-solving abilities, and effective communication distinguish top performers in this role. These skills enable Quant Engineers to develop robust models and algorithms that drive accurate trading strategies and risk management in fast-paced financial environments.

What are Quant Engineers?

Quant Engineers, or quantitative engineers, are professionals who apply mathematical models, statistical techniques, and computer programming to solve complex problems in finance and related industries. They often work on designing trading algorithms, risk management tools, and pricing models for financial instruments. Quant Engineers typically have strong backgrounds in mathematics, computer science, and finance, and are skilled in programming languages such as Python, C++, or R. Their work helps financial firms make data-driven decisions and optimize strategies in highly competitive markets.

Do I need a PhD to be a quant?

A PhD is not strictly required to become a quantitative engineer, but many roles prefer candidates with advanced degrees in fields like mathematics, physics, or engineering. Strong programming skills, proficiency in tools like Python or C++, and solid quantitative knowledge are essential for success in the field.

What is the difference between Quant Engineer vs Quant Analyst?

AspectQuant EngineerQuant Analyst
Required CredentialsDegree in Math, Finance, or Computer Science; often requires programming skillsDegree in Finance, Economics, or Math; less emphasis on programming
Work EnvironmentDevelops models, algorithms, and software tools for trading and risk managementAnalyzes data, interprets models, and provides insights for trading strategies
Employer & Industry UsageFinancial firms, hedge funds, investment banksFinancial firms, asset management, hedge funds

While both roles involve quantitative analysis, Quant Engineers focus on building and implementing models and software, whereas Quant Analysts primarily analyze data and interpret models to inform trading decisions. The roles often overlap but differ in technical depth and responsibilities.

How do Quant Engineers typically collaborate with traders and other team members to develop and implement trading strategies?

Quant Engineers work closely with traders, researchers, and software developers to design, test, and refine quantitative trading models. They often translate mathematical models into efficient code, analyze large datasets, and ensure strategies are both robust and scalable for real-time trading environments. Frequent communication is key, as Quant Engineers must gather requirements from traders, iteratively backtest ideas, and adapt models based on feedback and market changes. This collaborative process helps ensure strategies are both scientifically sound and practically viable for deployment.
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What job categories do people searching Quant Engineer jobs in Connecticut look for? The top searched job categories for Quant Engineer jobs in Connecticut are:
What cities in Connecticut are hiring for Quant Engineer jobs? Cities in Connecticut with the most Quant Engineer job openings:
Quant Engineer jobs near you
Quant Developer- Muni Bonds

Quant Developer- Muni Bonds

Verition Fund Management LLC

Greenwich, CT • On-site

Full-time

Posted 7 days ago

Job description

Job Summary:
Verition Fund Management LLC is a multi-strategy hedge fund focused on global investment strategies. They are seeking a Quant Developer to build and maintain trading systems, dashboards, and data pipelines, requiring strong Python skills and collaboration with various teams.
Responsibilities:
• Design, build, and maintain real-time trading dashboards and internal tools
• Develop and support production-grade backend services and data pipelines in Python
• Utilize FIX protocalls for engaging with electronic trading platforms
• Implement and optimize SQL-based data models and queries to support analytics, backtesting, and real-time monitoring, with a focus on performance, reliability, and scalability.
• Collaborate closely with the PM, quants, and traders to translate trading workflows and research requirements into robust software solutions
Qualifications:
Required:
• Strong Python skills with experience building production systems; exposure to C++ for low-latency systems is a plus
• Experience with frontend technologies for real-time applications and dashboards, including JavaScript, TypeScript, and React
• Strong SQL skills with experience in query optimization and working with large datasets
• Comfort with Linux-based development and deployment, including experience with REST and event-driven APIs
• Hands-on experience building data pipelines and backtesting systems, with some exposure to machine learning workflows
• Strong communication and project management skills
Preferred:
• Exposure to C++ for low-latency systems is a plus
• Prior Experience at a Hedge Fund/Bank as a quant developer is a plus
Company:
Verition Fund Management LLC (“Verition”) is a multi-strategy, multi-manager hedge fund founded in 2008. Founded in 2008, the company is headquartered in Greenwich, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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