Manager, Investment Analytics and Technology

UJA-Federation of New York • New York, NY

2d • $155,000 - $180,000

About The Position

The Manager, Quantitative Analytics and Technology serves as a strategic analytics partner and internal consultant to UJA-Federation of New York’s Investment Office. The role identifies, designs, builds, and implements data-driven tools to support investment decision-making across a complex, multi-asset-class portfolio. It works closely with investment professionals to understand workflows, translate analytical needs into practical solutions, and make investment analytics more accessible, intuitive, secure, and actionable.

The position advances the Investment Office’s data environment by managing existing data assets, integrating and validating new data sources, and supporting data integrity, governance, and security. It also assesses emerging tools and technologies, manages relevant vendor relationships, and contributes to evaluating technology-related investment opportunities, including venture capital investments.

Requirements

• Bachelor’s degree required.
• Five or more years of relevant experience in data science, analytics engineering, software engineering, investment analytics, financial technology, quantitative research, or a related technical role.
• Strong proficiency in Python and SQL, with experience building and maintaining databases, data pipelines, APIs, dashboards, and analytics applications.
• Experience with cloud-based data environments, preferably Azure, including data ingestion, validation, documentation, access management, and performance optimization.
• Ability to design, build, deploy, and maintain production-grade internal tools or applications for business users.
• Analytical, quantitative, and problem-solving capabilities, excellent attention to detail, and commitment to data accuracy, integrity, security, documentation, and responsible use.
• Strong communication, collaboration, and project-management skills, including the ability to translate analytical capabilities into practical investment applications, prioritize multiple projects, and work effectively in a lean team.

Nice To Haves

• Graduate degree in data science, computer science, engineering, applied mathematics, statistics, finance, business analytics, or a related quantitative field.
• Experience with Streamlit, Python-based analytics applications, and Excel-based workflows.
• Experience with Tableau, Power BI, or similar visualization platforms.
• Familiarity with AI, machine learning, automation tools, LLM-enabled workflows, or emerging enterprise analytics technologies, including data security, governance, and responsible-use considerations.

Responsibilities

• Partner with the Investment Office to identify opportunities for data, analytics, automation, and technology to improve investment decision-making, operational effectiveness, and reporting.
• Manage, maintain, and expand the Investment Office’s SQL database environment in Azure, including integrating data from multiple APIs, adding and validating data sources, documenting data flows, monitoring data quality, managing access, and optimizing database performance.
• Design, build, deploy, and maintain production-grade internal analytics tools, dashboards, data pipelines, and applications, including Streamlit and LLM-based tools.
• Evaluate emerging AI, machine learning, and automation tools, focusing on usability, security, analytical quality, workflow efficiency, and relevance to Investment Office needs.
• Explore secure AI-enabled workflows and data-access frameworks that help investment professionals work with approved data, analytics, and internal knowledge sources.
• Participate in Investment Office meetings and contribute data-driven insights to portfolio management, manager research, asset allocation, and investment evaluation.
• Support evaluation of technology-related investment opportunities, including venture capital investments.
• Collaborate with UJA departments to share best practices and complete ad hoc projects using a data-forward, analytical, and solutions-oriented approach.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager