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Quantitative Data Engineer Jobs in Connecticut (NOW HIRING)

Berkley

Actuary/Data Scientist

Greenwich, CT

... quantitative thinking, high quality code, and sound professional judgment. This role will challenge ... designed by data engineers to develop, enhance, and maintain models, focusing on analytical ...

Berkley

Actuary/Data Scientist

Greenwich, CT · On-site

... quantitative thinking, high quality code, and sound professional judgment. This role will challenge ... designed by data engineers to develop, enhance, and maintain models, focusing on analytical ...

Deloitte

Lead AI and Data Science Engineer II

Hartford, CT

$103K - $136K/yr

... quantitative discipline * 6+ years of experience in data science, analytics, or applied research ... Lead AI and Data Science Engineer II Drive the design and delivery of advanced analytics ...

Cohen Veterans Network

Research Associate

Stamford, CT · On-site

$77K - $95K/yr

... focus on quantitative data management and analysis to join our team in a full time permanent ... Collaborate with clinical, operational, and data engineering teams to ensure data quality and ...

DRW

Research Engineer (FICCO) (Greenwich)

Greenwich, CT · On-site

$175K - $225K/yr

Your team will work closely to solve challenging technological problems and contribute to our full tech stack, including software design, data engineering, distributed computing, and quantitative ...

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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

Actuary/Data Scientist

Berkley

Greenwich, CT

Full-time

Re-posted 29 days ago

Job description

"Our Company provides a state of predictability which allows brokers and agents to act with confidence."
Founded in 1967, W. R. Berkley Corporation has grown from a small investment management firm into one of the largest commercial lines property and casualty insurers in the United States.
Along the way, we’ve been listed on the New York Stock Exchange, become a Fortune 500 Company, joined the S&P 500, and seen our gross written premiums exceed $10 billion.
Today the Berkley brand comprises more than 60+ businesses worldwide and is divided into two segments: Insurance and Reinsurance and Monoline Excess.

The Company is an equal employment opportunity employer.


The Actuary/Data Scientist will leverage strong analytical and coding skills to support data pipelines and advanced modeling, emphasizing rigorous quantitative thinking, high quality code, and sound professional judgment. This role will challenge the status quo, apply modern data science and AI approaches, and translate complex analyses into clear, actionable insights.

• Write production-quality code for data wrangling, modeling, and AI-assisted analytical workflows.
• Perform deep exploratory analysis to identify problems, trends, and drivers.
• Work with data platforms and pipelines designed by data engineers to develop, enhance, and maintain models, focusing on analytical correctness and model integrity.
• Design and apply machine learning tools, including accessing large language models (LLMs) or building task-specific agents.
• Apply professional skepticism and alternate approaches to thoroughly validate results.
• Communicate results effectively to actuarial peers, management, and non-technical audiences.
• Understand the different data types and uses of data within an insurance organization.
• Provide support and guidance to others who are at earlier stages in their data science or AI journey.


Qualifications:

• 4–7 years of relevant actuarial, technical, or research experience.
• Strong programming skills, particularly in Python, including analytical and modeling libraries.
• Experience applying AI, machine learning, or LLM-based tools to solve real data or analytical problems (e.g., building agents, calling model APIs, or integrating AI into analytical workflows).
• Proficient in probability and statistics, with experience working with large and complex data flows and articulating project plans and conclusions.
• Proficient with SQL and cloud-based or distributed data environments (e.g., Snowflake, Databricks, or similar platforms).

Education Requirement


• Master's degree in Data Science preferred.
• Progress toward CAS credentials (ACAS or nearly/newly FCAS or international equivalent).


Location and Travel:
Primary location Greenwich, CT.
Sponsorship not Offered for this Role

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