Corporate Finance - VP - Portfolio Analytics

Abu Dhabi Investment Council Company; Abu Dhabi; On-site; AED 200,000 - 300,000; Full time

Job summary

Abu Dhabi Investment Council Company is seeking a skilled data engineer in Abu Dhabi to be responsible for the technical development and operational ownership of their in-house liquidity model. The role emphasizes hands-on work, including writing production-grade code and maintaining data pipelines.

The ideal candidate will have 8-12 years of experience in data engineering and specific expertise in Python and SQL within a financial services context. The position requires a university degree in a related quantitative discipline.

Qualifications

• 8 – 12 years of experience in data engineering or applied analytics.
• 5 years of experience building production Python/SQL applications.
• Experience in financial services or asset management.

Responsibilities

• Develop and maintain ADIC’s in-house liquidity model.
• Write and optimize production-grade code.
• Integrate various data sources with the liquidity model.

Skills

Python

SQL

Data Engineering

Quantitative Development

Data Analysis

Snowflake

AWS/Azure

Education

University degree in Computer Science

Technical certifications (e.g. Snowflake, AWS/Azure Data Engineering)

Job description

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, optimising 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.

Education

• 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

Experience

• A minimum of 8 – 12 years of hands-on experience in data engineering, quantitative development or applied analytics, with at least 5 years building and maintaining production Python/SQL applications and data pipelines in a financial services or asset management setting.