About Our Client
The organization operates within the investment management industry, focusing on managing core and alternative assets. It addresses challenges related to data integration and analytics essential for effective portfolio management, performance measurement, and reporting. The organization utilizes advanced data platforms and analytics tools to support investment strategies and decision-making processes.
About the Opportunity
The Senior Associate I, Portfolio Analytics plays a critical role in managing and transforming investment data to support portfolio analytics across core and alternative assets. This position ensures the accuracy and usability of data within quantitative models and reporting systems, directly contributing to the organization's ability to measure and communicate investment performance and strategy.
Responsibilities
Data Pipeline & Analytics Modeling
Data Transformation: Capture, extract, and transform financial data from multiple disparate sources into centralized investment data warehouses.
Pipeline Engineering: Develop, scale, and maintain automated data pipelines and analytical models tailored to both core and alternative asset classes.
Advanced Portfolio Analysis: Support technical performance measurement, institutional benchmarking, investment attribution, and granular look-through analysis.
Alternative Asset Support: Design and provide custom analytical data solutions for alternative and non-core investments.
Business Intelligence & Reporting
Executive Dashboards: Build, curate, and manage highly visual dashboards and performance reports utilized in investment committee and board-level materials.
Process Automation: Continuously enhance data platforms and automate recurring operational reporting processes to eliminate manual workflows.
Strategic Support: Assist leadership in meeting overarching investment operations, data governance, and compliance reporting objectives.
Data Quality & Vendor Collaboration
Cross-Team Alignment: Collaborate closely with internal technical teams and external data vendors to enforce strict data quality controls and operational alignment.
Requirements
Domain & Industry Experience
Tenure: 3 to 5 years of relevant professional experience in software engineering, data engineering, or quantitative analytics.
Sector Background: Direct experience operating within investment management, asset management, or related financial services sectors.
Financial Literacy: Strong foundational knowledge of asset management frameworks, risk metrics, and performance attribution methodologies.
Alternative Investment Metrics: Familiarity with alternative investment analytics—such as Commitments, Net Asset Value (NAV), Internal Rate of Return (IRR), Total Value to Paid-In (TVPI), and Distributed to Paid-In (DPI)—is considered a distinct advantage.
Technical Stack & Data Engineering
Database & ETL Architecture: Strong skills in dimensional and data modeling, advanced SQL scripting, and robust ETL (Extract, Transform, Load) pipeline development.
Power BI Mastery: High proficiency in Power BI development environments, including hands-on experience with Power Query, Dataflows, complex DAX measures, and enterprise dashboard creation.
Visualization & Reporting: Skilled in modern data visualization techniques and advanced Excel functions seamlessly integrated with Power BI ecosystems.
Communication & Tooling Pluses
Education: Bachelor’s degree in Computer Science, Engineering, Mathematics, Finance, Data Science, or a related quantitative field.
Project Documentation: Ability to generate clear technical documentation, systematically assess project risks, and coordinate across cross-functional teams.
Preferred Languages: Experience developing paginated reports or working with scripting tools and programming languages such as VBA, native SQL, or Python is a plus.
Execution Style: Detail-oriented mindset paired with strong written communication and collaborative skills.
Compensation and Benefits
Compensation
Pay & Package: The pay range and comprehensive compensation package for this role will be determined based on the selected candidate’s specific experience, technical skills, and other relevant professional factors.
Equal Opportunity Statement
Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.
About RemoteHunter
RemoteHunter is not the Employer of Record (EOR) for this role. Our purpose in this opportunity is to connect exceptional candidates with leading employers. We help job seekers worldwide discover roles that match their goals and guide them to complete their full application directly through the hiring company’s career page or ATS.

Senior Associate I, Portfolio Analytics

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