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Quantitative Data Engineer Jobs in Boston, MA (NOW HIRING)

Man Group

Senior Quantitative Developer

Boston, MA · On-site

$150 - $170/hr

For further information on how we process your data, please see the privacy notice for applicantshere. * As at 30 June 2026 The Role As a Senior Quantitative Developer in the Front-office Engineering ...

Deloitte

Lead Generative AI Data Engineer III

Boston, MA · On-site

$111K - $146K/yr

Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative field. * 7+ years of professional experience. * 5+ years of experience designing ...

Man Group plc

Senior Quantitative Developer

Boston, MA · On-site

For further information on how we process your data, please see the privacy notice for applicants * As at 30 June 2026 The Role As a Senior Quantitative Developer in the Front-office Engineering ...

HarbourVest

Director, Data Engineering

Boston, MA · Hybrid

$220K - $230K/yr

Our Quantitative Investment Science group is seeking a Lead Data Engineer to fully manage and deliver our private equity data platform. This hands-on leadership role requires a proven history of ...

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All JobsQuantitative Data Engineer JobsQuantitative Data Engineer Jobs in Boston, MA

Quantitative Data Engineer information

See Boston, MA salary details

$11.9K

$140.9K

$215.1K

How much do quantitative data engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for quantitative data engineer in Boston, MA is $140,869.00, according to ZipRecruiter salary data. Most workers in this role earn between $126,600.00 and $150,500.00 per year, depending on experience, location, and employer.

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 Boston, MA? For Quantitative Data Engineer jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Quantitative Data Engineer jobs in Boston, MA look for? The top searched job categories for Quantitative Data Engineer jobs in Boston, MA are:
What cities near Boston, MA are hiring for Quantitative Data Engineer jobs? Cities near Boston, MA with the most Quantitative Data Engineer job openings:
Quantitative Data Engineer jobs near you
Infographic showing various Quantitative Data Engineer job openings in Boston, MA as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, and 5% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $140,869 per year, or $67.7 per hour.

Senior Quantitative Operations Specialist

Fidelity Investments

Boston, MA • On-site

$107K/yr

Full-time

Medical, Retirement, PTO

Re-posted 12 days ago

Fidelity Investments rating

8.7

Company rating: 8.7 out of 10

Based on 271 frontline employees who took The Breakroom Quiz

15th of 150 rated financial services

Job description


Note: Fidelity will not provide immigration sponsorship for this position.
The Role
Quantitative Research and Investments (QRI) is seeking a highly motivated data expert in the domain of portfolio risk analytics to join a risk platform operations team responsible for ensuring that all vendor and internal portfolio risk analytics used for risk management and portfolio construction across Fidelity are delivered consistently, accurately and on a timely basis.
The Risk Platform Operations team are the stewards of risk analytics data for Fidelity Asset Management. They focus on quality control of all data that feeds into portfolio risk analytics, including security factor exposures and proxies, factor returns and covariance matrices, fundamentals data, security T&Cs, and portfolio holdings.
In this role, you will utilize domain expertise necessary to root-cause daily issues effectively, work with internal and external data providers to resolve issues at source, answer portfolio and risk manager questions, and develop automated systems for identifying data quality issues.
The Expertise and skills you bring
  • Act as a steward of data assets used in risk management and portfolio construction
  • Manage a quality services effort to respond to data quality issues in overnight feeds, enabling fast and seamless responses to upstream issues and insulating production and research from them
  • Update and verify the multi factor risk model inputs and outputs before delivery to clients
  • Enable Fidelity Asset Management's access to accurate, timely and relevant portfolio risk analytics, working closely with key technology and business partners to correct data quality issues at source
  • Analyze systems and processes to find efficiencies and improve accuracy and timeliness of reporting
  • Experience with market risk models from vendors such as Barra, Axioma, Northfield, or Bloomberg
  • Highly analytical with the ability to quickly comprehend large data sets, develop and implement the right quality controls for these datasets
  • Highly proactive and self-motivated with the ability to meet objectives under minimal direction
  • Experience with vendor-provided risk data and capabilities, including Bloomberg PORT, BarraOne, RiskManager and/or Axioma
  • Experience in security, company, portfolio, and index-level information used in financial industry, including pricing for various security types (equities, bonds, derivatives) and construction of holdings
  • Experience in SQL, Python, Snowflake and / or Oracle and related tools and DQ frameworks
  • Bachelor's degree (or higher) in mathematics, statistics, engineering, computer science, finance, or another quantitative field
  • 3+ years' experience in global data operations and/or support teams in peer firm(s) with a demonstrable track record delivering the value described for this role
  • Experience with methods, tools, statistics, and best practices for autonomous and discretionary anomaly detection, and data quality workflow
  • Excellent written and verbal communication skills; experience working with both technical and investment teams
  • Proven track record of working with complex data environments and associated technology and analytics infrastructure needed to support these environments
  • Demonstrated ability to root-cause data quality issues in complex environments and work with other teams and data providers to correct issues at source
  • Experience in creating automated processes to identify errors to ensure high quality of data to support the investment process
  • Experience in documenting essential procedures and calculations, and validating data
  • Investment Management business domain expertise across some combination of risk management, portfolio management, trading and investment operations

The Team
The Risk Platform Operations team is an integral part of the Quantitative Research and Investing (QRI) division in Asset Management. QRI is responsible for the management and development of quantitative investment strategies and solutions while providing high quality quantitative, data-driven support to Fidelity's fundamental investment professionals, ensuring they have access to the most relevant data and advanced quantitative analysis.
Fidelity's Onsite Working Model
Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles.
The base salary range for this position is $107,000-216,000 USD per year.
Placement in the range will vary based on job responsibilities and scope, geographic location, candidate's relevant experience, and other factors.
Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation.
We offer a wide range of benefits to meet your evolving needs and help you live your best life at work and at home. These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career. Note, the application window closes when the position is filled or unposted.
Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.
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