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Bloomberg Quant Jobs in Boston, MA (NOW HIRING)

Quantitative Data Analyst

Boston, MA · On-site

$90K - $150K/yr

Become a domain owner for key quant datasets (e.g., market data, fundamentals, corporate actions ... as Bloomberg, Refinitiv/LSEG, Compustat, FactSet, or ICE * Solid understanding of common time ...

Become a domain owner for key quant datasets (e.g., market data, fundamentals, corporate actions ... as Bloomberg, Refinitiv/LSEG, Compustat, FactSet, or ICE * Solid understanding of common time ...

AM Quantitative Analyst I

Boston, MA · On-site

$135K - $175K/yr

Performs quantitative research analysis and coordinates with other analysts, portfolio managers ... Handles financial packages using portfolio management tools -- FactSet and Bloomberg. Employs ...

AM Quantitative Analyst I

Boston, MA · On-site

$135K - $175K/yr

Performs quantitative research analysis and coordinates with other analysts, portfolio managers ... Handles financial packages using portfolio management tools -- FactSet and Bloomberg. Employs ...

... quant/fundamental blend equity strategies. Research enhancements to stock selection models ... Familiarity with financial data software such as Bloomberg or FactSet. * Proficiency in C#. * Not a ...

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Bloomberg Quant information

See Boston, MA salary details

$48.7K

$149.4K

$301.9K

How much do bloomberg quant jobs pay per year?

As of Aug 14, 2026, the average yearly pay for bloomberg quant in Boston, MA is $149,357.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,063.00 and $186,267.00 per year, depending on experience, location, and employer.

Does Bloomberg hire quants?

Bloomberg hires quantitative analysts, often called quants, for roles in financial modeling, data analysis, and algorithm development. These positions typically require strong skills in mathematics, programming, and finance, and may involve using tools like Python, C++, or MATLAB. Quant roles at Bloomberg are competitive and often require relevant experience or advanced degrees in related fields.

What is a Bloomberg Quant?

A Bloomberg Quant is a quantitative analyst who works at Bloomberg, focusing on developing mathematical models, algorithms, and tools to analyze financial data and support decision-making in trading, risk management, and investment strategies. These professionals use advanced statistical techniques, programming, and data analysis to interpret large datasets and generate actionable insights for Bloomberg's clients and internal teams. They often collaborate with engineers, data scientists, and financial experts to enhance Bloomberg's product offerings and maintain its leadership in financial analytics.

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

To thrive as a Bloomberg Quant, you need strong quantitative analysis skills, programming expertise (often in Python, C++, or R), and a relevant advanced degree such as a Master's or PhD in mathematics, finance, or a related quantitative field. Familiarity with financial modeling platforms, Bloomberg Terminal, and data analysis tools is typically required, along with knowledge of market data systems. Critical thinking, attention to detail, and effective communication are essential soft skills for translating complex data into actionable financial insights. These competencies are crucial for developing innovative quantitative strategies and delivering high-value analytics in a dynamic financial environment.

What is the difference between Bloomberg Quant vs Bloomberg Data Analyst?

AspectBloomberg QuantBloomberg Data Analyst
Required CredentialsAdvanced degrees in finance, mathematics, or related fields; programming skillsBachelor's degree in finance, economics, or related fields; data analysis skills
Work EnvironmentQuantitative research teams, financial modeling, algorithm developmentData collection, cleaning, reporting, and supporting decision-making
Employer & Industry UsageFinancial institutions, hedge funds, asset managers using quantitative strategiesFinancial firms, investment banks, and corporations analyzing market data

Bloomberg Quants focus on developing complex models and algorithms to inform trading strategies, requiring advanced quantitative skills. In contrast, Bloomberg Data Analysts primarily handle data management and reporting tasks to support business decisions. Both roles are integral in financial services but differ in technical depth and responsibilities.

How does a Bloomberg Quant typically collaborate with other departments such as engineering and sales?

Bloomberg Quants work closely with engineering teams to implement quantitative models and ensure their integration into Bloomberg’s software platforms. They also interact with sales and product management to understand client needs, tailor analytical solutions, and provide technical support. Effective communication and teamwork are essential, as projects often require input from multiple disciplines to deliver robust, client-focused products. This collaborative environment enables Quants to gain a broader business perspective while deepening their technical expertise.

What are popular job titles related to Bloomberg Quant jobs in Boston, MA?

For Bloomberg Quant jobs in Boston, MA, the most frequently searched job titles are:

What cities near Boston, MA are hiring for Bloomberg Quant jobs?

Cities near Boston, MA with the most Bloomberg Quant job openings:

Infographic showing various Bloomberg Quant job openings in Boston, MA as of August 2026, with employment types broken down into 93% Full Time, 3% Part Time, 1% Temporary, and 3% Contract. Highlights an 79% Physical, 13% Hybrid, and 8% Remote job distribution, with an average salary of $149,357 per year, or $71.8 per hour.

Director, Quant Data Platform

Fidelity Investments

Boston, MA • On-site

$126K/yr

Full-time

Medical, Retirement, PTO

Re-posted 27 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:
Director, Quant Data Platform
You will lead the dataset onboarding efforts for the Quantitative Research Platform (QRP) team within Fidelity's Quantitative Research & Investments (QRI) division. In this role, you will collaborate with technology partners to integrate financial and alternative datasets into QRP, ensuring they meet rigorous standards for quantitative research. You will work closely with researchers to design data consumption patterns and partner with Data Operations to maintain data quality.
The Expertise and Skills You Bring
You bring a strong background in managing and delivering complex data solutions for quantitative research within asset management. Your expertise spans onboarding and curating both vendor and enterprise datasets, ensuring they meet rigorous standards for performance, usability, and research accuracy. You have experience accelerating dataset onboarding processes while maintaining sustainability and quality, and you excel at collaborating with technology partners and researchers to design intuitive data consumption patterns. Your ability to coach teams, improve documentation, and maintain best practices in project management demonstrates your leadership and commitment to operational excellence. You are highly analytical, able to navigate complex data challenges, and communicate effectively with both technical and investment stakeholders.
Your technical proficiency includes SQL and Python, combined with a deep understanding of quantitative datasets ranging from traditional financial data such as prices, returns, fundamentals, and corporate actions to alternative datasets like sustainability analytics, supply chain, and credit card data. You have hands-on experience with major financial data vendors (Bloomberg, S&P, FactSet, Refinitiv, Morningstar, MSCI) and a strong grasp of point-in-time data modeling, historical reconciliation, and data governance practices. Your track record includes delivering large-scale data projects on time and at quality, with transparency and collaboration across multiple teams.
  • 7+ years of experience in asset management or hedge funds, focused on data analysis, delivery, and transformation across asset classes
  • Proven ability to lead engineering teams and coach others while contributing individually
  • Exposure to a wide array of financial and alternative datasets with deep knowledge of consumption patterns
  • Technical proficiency in SQL and Python
  • CFA charter holder or progress toward CFA designation is a strong plus

Team
Quantitative Research & Investments (QRI) is an investments and research division within Fidelity Asset Management. QRI is responsible for developing quantitative and hybrid quant/fundamental investment strategies and delivering high-quality, data-driven insights to support Fidelity's investment professionals.
Within QRI, the Quantitative Research Platform (QRP) team is an integral part of this mission because it ensures researchers have access to curated, high-quality datasets essential for quantitative research and portfolio management. QRP partners with technologists and researchers to onboard internal and vendor datasets, maintain rigorous data standards, and enable advanced research across systematic equity, fixed income, sustainable investing, and innovative strategies.
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 $126,000-255,000 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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Category:
Data Analytics and Insights

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