Corporate Finance - VP - Portfolio Analytics

Role Overview

Corporate Finance - VP - Portfolio Analytics at Abu Dhabi Investment Council, based in Abu Dhabi.

Company Overview

Abu Dhabi Investment Council (ADIC) is an institutional investment organization focused on managing and evaluating investments across asset classes, including private equity and infrastructure. ADIC operates in the investment management sector, combining analytical rigor with practical decision support to help teams work from robust, dependable insight.

Role Purpose

This role sits at the intersection of engineering, analytics, and portfolio insight. You will strengthen the systems and analytical capabilities that support liquidity analysis and broader portfolio decision-making, working closely with investment and support stakeholders to ensure outputs are dependable, scalable, and fit for purpose.

Key Responsibilities

Technical Development & Engineering

• Lead the technical development, engineering, and operational ownership of ADIC's in-house liquidity model and supporting analytical applications.
• Write, optimize, and maintain production-grade code that underpins analytical workflows and model performance.
• Build and operate data pipelines that support the liquidity model and related analytics.

Data Integration & Systems

• Integrate ADIC's data ecosystem, including Snowflake, source systems, FactSet, and internal databases, with the liquidity model.
• Integrate internal databases with analytical applications or data pipelines, including work with internally built financial systems or applications.

Stakeholder Delivery

• Partner with investment and support departments to deliver robust, reproducible analytics, reporting outputs, and ad-hoc data extractions.

Qualifications & Experience

Education

• University degree in Computer Science, Software Engineering, Data Science, Financial Engineering, Quantitative Finance, Mathematics, or a related quantitative discipline.

Professional Experience

• A minimum of 8–12 years of hands-on experience in data engineering, quantitative development, or applied analytics.
• At least 5 years building and maintaining production Python/SQL applications and data pipelines in a financial services or asset management setting.
• Hands-on experience with Snowflake, FactSet, and AWS or Azure cloud data platforms.
• Experience with liquidity modeling, quantitative financial modeling on returns, scenario analysis, and Monte Carlo simulation.
• Understanding of liquidity metrics such as LCR.
• Experience applying production-grade coding standards, automated testing, and reproducible analytics practices.
• Experience working with senior management, investment teams, treasury teams, and risk teams.

Certifications

• Relevant technical certifications (for example, Snowflake, AWS/Azure Data Engineering) or finance qualifications (CFA, CAIA) are desirable but not required.