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Factset Jobs in Boston, MA (NOW HIRING)

Bright Mind Solutions LLC

System Analyst

Boston, MA · On-site

$45 - $50/hr

Prefer to see candidates that have experience working with investment tools, research tools, investment reporting, Factset background, and the like. This person needs to know the basics of holdings ...

Fidelity Investments

Research Analyst

Boston, MA · On-site

$160K - $175K/yr

DE monitoring and analyzing portfolio performance and risk exposures, attribution, risk and holdings, using analytical tools -- Factset, Morningstar Direct, Bloomberg, and MPI Stylus. * DE ...

Gwkinvest

Director, Investment Risk

Boston, MA · On-site

$175 - $225/hr

Lead the development of a formalized Investment Risk Committee over time. * Work directly in investment risk and analytics platforms, including FactSet, Axioma, and Bloomberg, to evaluate portfolio ...

Gwkinvest

Director, Investment Risk (Boston)

Boston, MA · On-site

Lead the development of a formalized Investment Risk Committee over time. * Work directly in investment risk and analytics platforms, including FactSet, Axioma, and Bloomberg, to evaluate portfolio ...

Victory Capital

Investment Risk Analyst

Boston, MA · On-site

$75K - $90K/yr

Experience with or exposure to risk systems (e.g., Bloomberg PORT, FactSet, MSCI RiskMetrics) * Soft Skills * Strong written and verbal communication skills -- ability to translate quantitative ...

Victory Capitel

Investment Risk Analyst

Boston, MA · On-site

$75K - $90K/yr

Experience with or exposure to risk systems (e.g., Bloomberg PORT, FactSet, MSCI RiskMetrics) * Soft Skills * Strong written and verbal communication skills -- ability to translate quantitative ...

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Factset information

See Boston, MA salary details

$84.6K

$105.3K

$161.1K

How much do factset jobs pay per year?

As of Aug 4, 2026, the average yearly pay for factset in Boston, MA is $105,273.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,851.00 and $108,655.00 per year, depending on experience, location, and employer.

What is a FactSet?

A FactSet job typically refers to a role at FactSet, a global financial data and software company that provides analytical tools to investment professionals. Jobs at FactSet span various fields, including software engineering, data analysis, financial research, and client support. Employees work with financial data, develop analytics tools, and support clients in making informed investment decisions. FactSet values innovation, collaboration, and expertise in finance and technology.

What are some typical challenges FactSet employees may encounter in their day-to-day work?

FactSet employees often work with large quantities of complex financial data and are expected to deliver accurate analyses within tight deadlines, which can present challenges in prioritizing tasks and maintaining high attention to detail. Additionally, adapting quickly to new software features, changing client requirements, or evolving market conditions can require ongoing learning and flexibility. The collaborative nature of most FactSet teams means employees must frequently coordinate with colleagues and clients, balancing multiple projects at once. Overcoming these challenges helps build strong analytical, technical, and interpersonal skills, contributing to long-term career growth in the financial services sector.

What are the key skills and qualifications needed to thrive in the FactSet position, and why are they important?

To thrive in a FactSet role (such as a FactSet Research Analyst or FactSet Consultant), you need strong analytical abilities, a background in finance or economics, and an understanding of financial markets. Proficiency with FactSet software, Excel, and familiarity with data visualization tools or financial modeling certifications are highly valuable. Excellent communication, attention to detail, and problem-solving skills set candidates apart in client-facing or analytical capacities. These competencies are essential for delivering accurate insights, supporting clients, and navigating the fast-paced, data-driven environment at FactSet.

What are the most commonly searched types of Factset jobs in Boston, MA? The most popular types of Factset jobs in Boston, MA are:
What are popular job titles related to Factset jobs in Boston, MA? For Factset jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Factset jobs in Boston, MA look for? The top searched job categories for Factset jobs in Boston, MA are:
Factset jobs near you
Infographic showing various Factset job openings in Boston, MA as of July 2026, with employment types broken down into 93% Full Time, 4% Part Time, and 3% Contract. Highlights an 89% Physical, 8% Hybrid, and 3% Remote job distribution, with an average salary of $105,273 per year, or $50.6 per hour.

Manager, Quant Data Analytics and Insights

Fidelity Investments

Boston, MA • On-site

$126K - $141K/yr

Full-time

Posted 6 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.
Position Description:
Develops and maintains technical infrastructure to support quantitative research and investment processes across fixed income and equity Environmental, Social, and Governance (ESG) models. Implements robust model validation frameworks, builds scalable data pipelines, and delivers advanced analytics and visualization tools. Maintains version control and CI/CD workflows using GitHub and Jira. Schedules production jobs using Autosys. Contributes to the integration of non-traditional and unstructured data sources and applies statistical and time-series techniques to ensure model accuracy and robustness. Supports quantitative research initiatives through tooling, automation, and governance enhancements.
Primary Responsibilities:
  • Validates complex quantitative ESG models for fixed income and equity portfolios by systematically verifying research code logic.
  • Performs sustainable investing research including model construction, factor definitions, factor calculations, and translates output statistics into meaningful information.
  • Designs and develops interactive dashboards for ESG model performance and portfolio analytics.
  • Performs schema mapping and onboarding of multi-asset ESG datasets to validate alignment with quantitative model requirements and ensure consistency across diverse data sources.
  • Processes and integrates raw vendor feeds and Application Programming Interface (API) outputs for ESG ratings, sustainable investment strategies, market data, and factor exposures, delivering standardized, model-ready datasets optimized for downstream analytics and portfolio construction.
  • Responds to ad-hoc requests for data analysis, back-testing, and visualization in support of quantitative research projects.
  • Performs daily, weekly, and monthly production reporting cycles across analytic environments.
  • Ensures all required input data is available, processes run successfully, statistical output is accurate, and reports are generated properly.
  • Reports results of statistical analyses, including information in the form of graphs, charts, and tables.
  • Determines whether statistical methods are appropriate, based on user needs or research questions of interest.

Education and Experience:
Bachelor's degree in Computer Science, Engineering, Quantitative Economics, Mathematics, Mathematical Finance, Financial Technology, or a closely related field (or foreign education equivalent) and three (3) years of experience as a Manager, Quant Data Analytics and Insights (or closely related occupation) performing data engineering and quantitative model deployment by building and validating end-to-end ESG solutions using Python, Snowflake, Oracle, GitHub, and FactSet in a financial services industry.
Or, alternatively, Master's degree in Computer Science, Engineering, Quantitative Economics, Mathematics, Mathematical Finance, Financial Technology, or a closely related field (or foreign education equivalent) and one (1) year of experience as a Manager, Quant Data Analytics and Insights (or closely related occupation) performing data engineering and quantitative model deployment by building and validating end-to-end ESG solutions using Python, Snowflake, Oracle, GitHub, and FactSet in a financial services industry.
Skills and Knowledge:
Candidate must also possess:
  • Demonstrated Expertise ("DE") performing quantitative ESG model validation by applying ESG scoring methodology and equity/fixed income factor using Python and SQL; performing back-testing and sensitivity analysis to implement algorithmic improvements and enhance model robustness using Python, SQL, Snowflake, and Oracle; and performing model development lifecycle support and CI/CD workflow maintenance using GitHub and Jira.
  • DE performing data extraction and integration for quantitative ESG models by assessing, processing, and documenting data relationships, definitions, and schema structures across relational and cloud-based data environments using SQL, Snowflake, Oracle, Python, and FactSet; and processing and integrating API outputs and vendor feeds from sources including Morgan Stanley Capital International (MSCI) to deliver clean, model-ready datasets using Python and SQL.
  • DE designing and developing interactive analytical dashboards and data visualization solutions for ESG models to evaluate model performance and support portfolio construction decisions, using Python, Streamlit, Plotly, Matplotlib, and Seaborn.
  • DE designing and deploying a systematic framework for integrity testing across Snowflake and Oracle environments using Python, SQL, Excel, and VBA; and applying advanced analytics to validate historical data accuracy for quantitative modeling and production using Python, and SQL, including performing outlier detection and time-series analysis.

Salary: $126,000.00 to $141,000.00/year.
#PE1M2
#LI-DNI
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.
Certifications:
Category:
Data Analytics and Insights
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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