Associate - Portfolio Analytics

Abu Dhabi Investment Council Company; United Arab Emirates; On-site; AED 100,000 - 150,000; Full time

Job summary

Abu Dhabi Investment Council Company is seeking a candidate responsible for technical development and operational ownership of its liquidity model. The role emphasizes hands-on engagement in writing, optimizing, and maintaining production-grade code, developing data pipelines, and integrating various data systems into the liquidity model ecosystem.

Candidates should hold a university degree in a relevant quantitative discipline, with preferences for technical certifications in Snowflake or AWS/Azure. The ideal candidate will collaborate with investment and support departments to deliver robust analytics and reporting.

Qualifications

• University degree in Computer Science, Software Engineering, Data Science, Financial Engineering, Quantitative Finance, Mathematics or a related quantitative discipline.
• Relevant technical certifications (e.g., Snowflake, AWS/Azure Data Engineering) or finance qualifications (CFA, CAIA) are desirable.

Responsibilities

• Responsible for the technical development and operational ownership of ADIC’s liquidity model.
• Writing, optimizing, and maintaining production-grade code.
• Building and operating data pipelines.

Skills

Production-grade code optimization

Data pipelines building

Data ecosystem integration

Reproducible analytics

Education

University degree in Computer Science or related field

Tools

Snowflake

AWS/Azure Data Engineering

Job description

Responsibilities

Responsible for the technical development, engineering and operational ownership of ADIC’s in‑house liquidity model and supporting analytical applications.

The role is primarily hands‑on, focused on writing, optimizing and maintaining production‑grade code, building and operating data pipelines, and integrating ADIC’s data ecosystem (Snowflake, source systems, FactSet, internal databases) with the liquidity model.

Partners with investment and support departments to deliver robust, reproducible analytics, reporting outputs and ad‑hoc data extractions.

Qualifications

• University degree in Computer Science, Software Engineering, Data Science, Financial Engineering, Quantitative Finance, Mathematics or a related quantitative discipline.
• Relevant technical certifications (e.g., Snowflake, AWS/Azure Data Engineering) or finance qualifications (CFA, CAIA) desirable but not required.