Manager, Quant Data Analytics and Insights

Fidelity; Boston (MA); On-site; USD 126,000 - 141,000; Full time

Benefits offered by this job

On-site health centers

Fully paid parental leave

Work-life balance programs

Job summary

Fidelity in Boston, MA is seeking a Manager, Quant Data Analytics and Insights to develop and maintain technical infrastructure for quantitative ESG models across fixed income and equity portfolios. The role emphasizes validation frameworks, scalable data pipelines, and advanced analytics with CI/CD workflows.

The team focuses on ESG model validation, data integration, and dashboarding for portfolio analytics, with production reporting and data governance across multiple data sources.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Quantitative Economics, Mathematics, Financial Technology, or closely related field and three years of experience in a similar role performing data engineering and ESG model deployment using Python, Snowflake, Oracle, GitHub, and FactSet.
• Alternatively, Master’s degree and one year of experience in the same domain.

Responsibilities

• Validates complex quantitative ESG models for fixed income and equity portfolios by verifying research code logic.
• Performs sustainable investing research including model construction and factor calculations.
• 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 model requirements.
• Integrates raw vendor feeds and API outputs for ESG ratings and market data for model-ready datasets.
• Responds to data requests for analysis, back-testing, and visualization to support quantitative research.
• Maintains daily, weekly, and monthly production reporting cycles across analytics environments.
• Ensures data availability, runs produce accurately, and reports are generated properly.
• Reports statistical results using graphs, charts, and tables.
• Assesses appropriateness of statistical methods based on user needs.

Skills

ESG model validation

Data integration

Dashboard development

CI/CD workflows

Python

SQL

Education

Bachelor's degree in Computer Science/Engineering/Quantitative Economics/Mathematics/Financial Technology

Master's degree in related field

Tools

Python

Snowflake

Oracle

GitHub

FactSet

Job description

Business Analysis & Project Management

Manager, Quant Data Analytics and Insights

Published: Jul 29

Fidelity is transitioning to a full-time onsite working model in phases by region and role. See job description for more information.

Location

• Boston, MA

Team

• Business Analysis & Project Management

Experience Level

Manager

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.

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.

Benefits that balance life and work

From our fully paid parent leave to our on-site health and wellness centers, our benefits support the belief that more balance you have, the better you can achieve your goals.

Company overview

At Fidelity, we are passionate about making our financial expertise broadly accessible and effective in helping people live the lives they want. We are a privately held company that places a high degree of value in creating and nurturing a work environment that attracts the best talent and reflects our commitment to our associates. We are proud of our diverse and inclusive workplace where we respect and value our associates for their unique perspectives and experience.

Reasonable accommodations

Fidelity will reasonably accommodate applicants with disabilities who need adjustments to participate in the application or interview process. To initiate a request for an accommodation contact the HR Accommodation Team by sending an email to [e-mail], or by calling 800-835-5099, prompt 2, option 3.

Equal opportunity employer

Fidelity Investments is an equal opportunity employer. We believe that the most effective way to attract, develop, and retain a diverse workforce is to build an enduring culture of inclusion and belonging.

Applicant screening

At Fidelity, we value honesty, integrity, and the safety of our associates and customers within a heavily regulated industry. Certain roles may require candidates to go through a preliminary credit check during the screening process. Candidates who are presented with a Fidelity offer will need to go through a background investigation and may be asked to provide additional documentation as requested. This investigation includes but is not limited to a criminal, civil litigations and regulatory review, employment, education, and credit review (role dependent). These investigations will account for 7 years or more of history, depending on the role. Where permitted by federal or state law, Fidelity will also conduct a pre-employment drug screen, which will review for the following substances: Amphetamines, THC (marijuana), cocaine, opiates, phencyclidine.

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