ESG Quant Analytics & Insights Lead

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

Job summary

Fidelity Investments is seeking a data analytics leader to develop and maintain infrastructure supporting ESG models across fixed income and equity portfolios. You will validate research code, construct sustainable investing models, and build dashboards for model performance and portfolio analytics.

The role involves data integration from vendor feeds, API outputs, and multi-asset datasets, with emphasis on CI/CD workflows, production reporting, and governance in a financial services setting.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Quantitative Economics, Mathematics, Mathematical Finance, Financial Technology, or closely related field (or foreign education equivalent) and three (3) years of experience as a Manager, Quant Data Analytics and Insights 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 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.

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 API outputs for ESG ratings, sustainable investment strategies, market data, and factor exposures, delivering standardized, model-ready datasets.
• 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 graphs, charts, and tables.
• Determines whether statistical methods are appropriate, based on user needs or research questions of interest.

Skills

Quantitative analysis

Data interpretation

Problem solving

Communication

Education

Bachelor’s degree in related field

Master’s degree in related field

Tools

Python

SQL

Snowflake

Oracle

GitHub

FactSet

Jira

Autosys

Streamlit

Plotly

Matplotlib

Seaborn

Job description

Fidelity Investments is seeking a data analytics leader to develop and maintain infrastructure supporting ESG models across fixed income and equity portfolios. You will validate research code, construct sustainable investing models, and build dashboards for model performance and portfolio analytics.

The role involves data integration from vendor feeds, API outputs, and multi-asset datasets, with emphasis on CI/CD workflows, production reporting, and governance in a financial services setting.