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Quantitative Data Engineer Jobs in Massachusetts

Man Group

Senior Quantitative Developer

Boston, MA · Hybrid

We implement the systems that require the highest data throughput in Java. For storage, we rely ... engineering, preferably with a focus on quantitative applications * Expert knowledge of Python and ...

Arrowstreet Capital

Quantitative Developer

Boston, MA · On-site

$150K - $250K/yr

We are a collaborative, data-driven, intellectually rigorous team responsible for coming up with ... As a Quantitative Developer, you will help build our next-generation Research data platform ...

Arrowstreet Capital LP

Quantitative Developer

Boston, MA · On-site

$155K - $260K/yr

We are a collaborative, data-driven, intellectually rigorous team responsible for coming up with ... As a Quantitative Developer, you will help build our next-generation Research data platform ...

Arrowstreetcapital

Quantitative Developer

Boston, MA

$155K - $260K/yr

We are a collaborative, data-driven, intellectually rigorous team responsible for coming up with ... As a Quantitative Developer, you will help build our next-generation Research data platform ...

Arrowstreet Capital

Quantitative Developer

Boston, MA

$155K - $260K/yr

We are a collaborative, data-driven, intellectually rigorous team responsible for coming up with ... As a Quantitative Developer, you will help build our next-generation Research data platform ...

Draper

Senior DevSecOps Engineer

Cambridge, MA · On-site

$115K - $158K/yr

... quantitative data or results. • Identifies project technical risks and develops and executes ... of software developers on projects. Qualifications : Required : • Proficiency in GitLab ...

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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 Massachusetts? For Quantitative Data Engineer jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Quantitative Data Engineer jobs in Massachusetts look for? The top searched job categories for Quantitative Data Engineer jobs in Massachusetts are:
What cities in Massachusetts are hiring for Quantitative Data Engineer jobs? Cities in Massachusetts with the most Quantitative Data Engineer job openings:
Quantitative Data Engineer jobs near you

Quantitative Developer

Arrowstreet Capital, Limited Partnership

Boston, MA • On-site

Full-time

Re-posted 24 days ago

Job description

Job Summary:
Arrowstreet Capital is a Boston-based systematic investment firm that manages global equity portfolios for institutional investors around the world. They are looking for Quantitative Developers to join their Research group to build a next-generation Research data platform and support investment research production processes.
Responsibilities:
• Writing and maintaining Python and R code that supports the investment research production processes
• Designing and creating software to enhance our data science technology stack
• Performing ad-hoc exploratory statistical analysis across multiple large complex data sets from a variety of structured and unstructured sources
• Implementing performance improvements in our data analysis and numerical programming code
• Running POCs to evaluate new technologies and libraries in the PyData ecosystem
• Staying up to date on the PyData ecosystem and evaluating new libraries and tools
• Working with software engineers to design feeds for new data sources from third-party vendors
Qualifications:
Required:
• An undergraduate or graduate degree from an educational institution in computer science with a quantitative application such as mathematics and/or finance, or vice versa – a quantitative degree with a computer science application
• 1 - 3 years of relevant experience required
• Demonstrated professional or academic success
• Strong analytical, quantitative, and problem-solving skills
• Experience implementing production-grade Python code for a data analytic business, preferably in investment management
• Expert programming skills in Python with pandas and numpy
• Expertise in OOP paradigms, data structures, and numerical algorithms
• Understanding of probability and statistics, including linear regression and time-series analysis
• Curiosity and a willingness to learn new technologies
• Interest in financial markets (prior experience not required)
• Excellent communication skills, including data visualization
• High energy and strong work ethic
Preferred:
• Some experience programming in R with tidyverse packages
• High-performance computing
• Distributed computing
• Hadoop, Spark, Kafka, and related technologies
• SQL
• Unix/Linux system tools and environment
• Basic familiarity with unit testing, continuous integration, DevOps, containerization
• Interactive data visualization and dashboards
Company:
Founded in 1999, Arrowstreet Capital is an independent private partnership based in Boston, Massachusetts. Founded in 1999, the company is headquartered in Boston, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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