Corporate Finance VP Portfolio Analytics

About the role

The Corporate Finance VP – Portfolio Analytics will lead the development and operational ownership of ADIC’s in‑house liquidity model and related analytical applications. This senior position sits at the intersection of engineering, analytics and portfolio insight, supporting liquidity analysis and broader portfolio decision‑making.

Key responsibilities

• Lead technical development, engineering and operational ownership of the liquidity model and supporting analytical applications.
• Write, optimise and maintain production‑grade Python/SQL code that underpins analytical workflows.
• Build and operate data pipelines that feed the liquidity model and related analytics.
• Integrate ADIC’s data ecosystem—including Snowflake, FactSet and internal databases—with the model.
• Partner with investment, treasury and risk teams to deliver robust, reproducible analytics, reporting outputs and ad‑hoc data extractions.

Required profile

• University degree in Computer Science, Software Engineering, Data Science, Financial Engineering, Quantitative Finance, Mathematics or a related quantitative discipline.
• 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 in a financial services or asset‑management setting.
• Hands‑on experience with Snowflake, FactSet and AWS or Azure cloud data platforms.
• Experience integrating internal databases with analytical applications or data pipelines.
• Experience with liquidity modelling, quantitative financial modelling, 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.

Required skills

• Python
• SQL
• Snowflake
• FactSet
• AWS
• Azure
• Data pipelines
• Monte Carlo simulation
• Quantitative financial modelling