Associate - Portfolio Analytics

Abu Dhabi Investment Council Company is an investment organization focused on managing and evaluating investment opportunities, portfolio analytics, and related corporate functions. Working within the investment management space, the team supports analytical capabilities that help inform decision-making and strengthen the organization’s broader data and portfolio insight functions.

This role offers the opportunity to contribute to a technically demanding environment where robust analytics, dependable data foundations, and high-quality reporting are central to success. You will play an important part in supporting analytical applications and strengthening the systems that underpin liquidity-related analysis across the organization.

As Associate - Portfolio Analytics, you will help shape and support core analytical capabilities connected to the firm’s in-house liquidity model. This is a hands-on role suited to someone who enjoys combining engineering discipline with analytical problem-solving and close collaboration across investment and support functions.

• →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.

• 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 to internal decision-makers.
• Professional proficiency in English.

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