Requirements
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 requiredExperience• 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.
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.