Associate - Portfolio Analytics

Responsibilities

• Lead the technical development, engineering, and operational ownership of the in-house liquidity model and supporting analytical applications
• Write, optimize, and maintain production-grade code supporting analytics and reporting workflows
• Build and operate data pipelines that support reliable, scalable analytical processes
• Integrate the broader data ecosystem, including Snowflake, source systems, FactSet, and internal databases, with the liquidity model
• Partner with investment and support departments to deliver robust, reproducible analytics, reporting outputs, and ad-hoc data extractions

Requirements

• University degree in Computer Science, Software Engineering, Data Science, Financial Engineering, Quantitative Finance, Mathematics, or a related quantitative discipline
• 4+ years of experience building production-grade analytics applications
• Strong experience with Python and SQL
• Hands-on experience with data pipeline monitoring, reproducible analytics workflows, and production testing
• Experience partnering with investment teams and support departments to deliver analytics and reporting outputs
• Professional proficiency in English

Preferred Qualifications

• Experience with Snowflake, AWS, or databases such as Oracle
• Exposure to liquidity modeling, including scenario analysis, stress testing, and liquidity metrics
• Familiarity with forecasting, nowcasting, return forecasting, Monte Carlo methods, and distribution analysis
• Experience with code optimization
• Relevant technical certifications (Snowflake, AWS/Azure Data Engineering) or finance qualifications (CFA, CAIA)