Investment Analytics Engineer: Data, AI & Tools

Frederick Fox; New York (NY); On-site; USD 130,000 - 190,000; Full time

Job summary

Frederick Fox is seeking an Investment Analyst, Quantitative Analytics and Technology to act as a strategic analytics partner for the Investment Office. You will translate analytical needs into practical, production-grade tools and dashboards that enhance investment decision-making across a multi-asset portfolio.

You will manage data assets in Azure, validate new data sources, ensure governance and security, and evaluate emerging AI and automation tools.

Qualifications

• Bachelor’s degree in a quantitative field or related discipline.
• 5+ years in data science, analytics engineering, software engineering, or related technical role.
• Experience building production-grade analytics solutions.

Responsibilities

• Identify opportunities where data, analytics, automation, and technology improve investment decision-making.
• Manage and expand the SQL database environment in Azure, integrate APIs, validate data sources, monitor data quality.
• Design, build, deploy, and maintain analytics tools, dashboards, data pipelines, and applications (e.g., Streamlit, LLM-based tools).
• Evaluate AI/ML and automation tools for secure, user-friendly workflows.
• Provide data-driven insights for portfolio management and investment evaluation.
• Support technology-related investment evaluations including venture opportunities.

Skills

Python

SQL

Data pipelines

Dashboards

Azure cloud

Streamlit

Excel

Education

Bachelor's degree

Graduate degree preferred

Tools

Azure

Tableau/Power BI

Streamlit

APIs

Job description

Frederick Fox is seeking an Investment Analyst, Quantitative Analytics and Technology to act as a strategic analytics partner for the Investment Office. You will translate analytical needs into practical, production-grade tools and dashboards that enhance investment decision-making across a multi-asset portfolio.

You will manage data assets in Azure, validate new data sources, ensure governance and security, and evaluate emerging AI and automation tools.