Corporate Finance - VP - Portfolio Analytics

Abu Dhabi Investment Company; Abu Dhabi; On-site; AED 180,000 - 220,000; Full time

Job summary

Abu Dhabi Investment Company is seeking an experienced data engineer to lead the technical development and operational ownership of its in-house liquidity model. You will be responsible for writing and optimizing production-grade code, building and operating data pipelines, and integrating various data sources into the liquidity model.

The ideal candidate will have 8-12 years of experience in data engineering or applied analytics, particularly within financial services. Certifications in modern data technologies such as Snowflake, AWS, or Azure would be desirable.

Qualifications

• 8-12 years of experience in data engineering, quantitative development, or applied analytics.
• 5+ years of experience building and maintaining production applications in financial services.
• Technical certifications in relevant areas are desirable.

Responsibilities

• Responsible for technical development and operational ownership of liquidity model.
• Write, optimize, and maintain production-grade code.
• Integrate data ecosystem with liquidity model.

Skills

Python

SQL

Data Engineering

Analytics

Education

University degree in Computer Science, Software Engineering, Data Science, Financial Engineering, Quantitative Finance, or Mathematics

Tools

Snowflake

AWS

Azure

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.