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Quantitative Data Engineer Jobs in Connecticut (NOW HIRING)

Group1001

Quantitative Analysis Intern

Stamford, CT · On-site

Collect and process external data to support current market value, residual value forecast ... engineering, or other related fields * Minimum of one year completed in current Graduate program ...

Group1001

Quantitative Analysis Intern

Stamford, CT · Hybrid

Collect and process external data to support current market value, residual value forecast ... engineering, or other related fields * Minimum of one year completed in current Graduate program ...

Gartner

Sr Data Scientist

Stamford, CT · On-site

Lead data science projects in close collaboration with IT, Data Engineering, Application ... While degrees in mathematics, computer science, engineering, or other quantitative fields are ...

Gartner, Inc.

Sr Data Scientist

Stamford, CT · On-site

Lead data science projects in close collaboration with IT, Data Engineering, Application ... While degrees in mathematics, computer science, engineering, or other quantitative fields are ...

Berkley

Actuary/Data Scientist

Greenwich, CT

... quantitative thinking, high quality code, and sound professional judgment. This role will challenge ... Work with data platforms and pipelines designed by data engineers to develop, enhance, and maintain ...

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Quantitative Data Engineer information

What are the key skills and qualifications needed to thrive as a quantitative data engineer, and why are they important?

To excel as a Quantitative Data Engineer, you need strong proficiency in programming (such as Python, R, or C++), advanced mathematical and statistical knowledge, and a relevant degree in computer science, mathematics, or a related field. Experience with big data tools (like Spark, Hadoop), cloud platforms, and data pipeline systems, as well as familiarity with financial data sets, is typically required. Analytical thinking, detail orientation, and effective problem-solving skills distinguish top performers in this role. These competencies are critical for efficiently transforming complex data into actionable insights and supporting robust quantitative models in data-driven environments.

What is a quantitative data engineer?

A Quantitative Data Engineer is a professional who designs, builds, and maintains data infrastructure that supports quantitative analysis, typically in finance or technology sectors. They work closely with quantitative analysts and data scientists to ensure efficient data pipelines, data quality, and high-performance systems for processing large datasets. Their responsibilities include developing ETL processes, optimizing databases, and implementing data models to support research and trading strategies. Strong programming skills, expertise in big data technologies, and knowledge of quantitative methods are essential for this role.

What is the difference between Quantitative Data Engineer vs Data Scientist?

AspectQuantitative Data EngineerData Scientist
Primary FocusBuilding data pipelines, data infrastructure, and ensuring data qualityAnalyzing data, creating models, and deriving insights
Skills & ToolsSQL, Python, Spark, ETL processes, data architectureStatistics, machine learning, Python/R, data visualization
CredentialsComputer science, engineering, or related degrees; certifications in data engineeringStatistics, data science, or related degrees; certifications in data analysis or machine learning
Work EnvironmentData engineering teams, data infrastructure projectsData analysis teams, research, and modeling projects

While both roles work closely with data, Quantitative Data Engineers focus on building and maintaining data systems, whereas Data Scientists analyze data to generate insights and models. They often collaborate but have distinct skill sets and responsibilities within data-driven organizations.

How does a quantitative data engineer typically collaborate with data scientists and quantitative analysts on projects?

Quantitative Data Engineers work closely with data scientists and quantitative analysts to design, build, and optimize data pipelines that support complex modeling and analytics. They are often responsible for ensuring data quality, scalability, and efficient data processing, enabling analysts to focus on developing models and extracting insights. Regular collaboration includes translating analytical requirements into technical solutions, troubleshooting data issues, and iterating on data infrastructure to support evolving project needs. This teamwork fosters an environment where technical and analytical expertise complement each other, leading to more robust and actionable results.
What are popular job titles related to Quantitative Data Engineer jobs in Connecticut? For Quantitative Data Engineer jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Quantitative Data Engineer jobs in Connecticut look for? The top searched job categories for Quantitative Data Engineer jobs in Connecticut are:
What cities in Connecticut are hiring for Quantitative Data Engineer jobs? Cities in Connecticut with the most Quantitative Data Engineer job openings:
Quantitative Data Engineer jobs near you

Quantitative Researcher - Volatility (USA)

Trexquant Investment

Stamford, CT • On-site

$130K - $200K/yr

Full-time

Medical, Dental, Vision

Re-posted 25 days ago

Job description

We are seeking a highly skilled and motivated Quantitative Researcher to join our Volatility team. This role will be pivotal in helping to scale up a growing Volatility focused research group, and will work closely with our Head of Volatility to execute on our strategic roadmap. The role will focus on building volatility specific tooling, as well as on researching signals & strategies for trading within the volatility markets. The ideal candidate will have expertise in volatility modeling, statistical analysis, and a deep understanding of volatility market dynamics.

Responsibilities

  • Build and maintain proprietary pricing/analytics tooling for volatility research.
  • Calibrate implied volatility surfaces across single stock, index, ETF options and more. Work with developers to productionize models and integrate them into backtesting and live trading systems.
  • Design, implement, and optimize trading strategies to predict volatility market trends using extensive financial data and a wide array of trading signals.
  • Parse and analyze large datasets to identify actionable alpha signals and develop strategies for volatility trading.
  • Explore and apply cutting-edge academic research in quantitative finance to assess, refine, and enhance the profitability of trading strategies.
  • 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 a STEM field.
  • 5+ years of experience in quantitative research, specifically focused on volatility markets.
  • Proficiency in programming languages like Python and statistical modeling.
  • Experience with industry volatility models; strong understanding of options pricing.
  • Familiarity with C++ a nice to have.
  • Strong problem-solving skills with an ability to work effectively both independently and as part of a team.

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.
  • Pre-Tax Commuter Benefits – making your commute smoother.

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