What you’ll do

📍Build and maintain insightful ALM dashboards in Tableau or Metabase for both day-to-day monitoring and management-level views. Additionally, support the team in automating recurring ALM reporting, improving timeliness, consistency, and clarity of outputs. 📍 Use SQL (Snowflake), Metabase and, where useful, light Python scripting to query, clean, and structure data for reporting and analysis. 📍 Translate ALM needs into actionable insights by defining meaningful metrics and visualizations (e.g., net positions, liquidity buffers, funding mix, yield/cost drivers, product-level profitability, key movements over time). 📍 Ensure dashboards and reports are well-documented, reliable, and easy to use, with basic data checks, reconciliations and clear metric definitions. 📍Collaborate with our Data teams where needed to align on sources, definitions, and scalable solutions.

Who you are

📍You have a solid Treasury/Finance/ALM knowledge and are familiar with concepts such as balance sheet management, yield calculations and working capital management. 📍You bring 3+ years of experience in Finance/Treasury/ALM, financial analytics, or a related function in a fast-paced environment. 📍You’re confident using SQL to work with large datasets; Snowflake experience is a plus. Python is nice to have (not a must). You have hands-on experience building dashboards in Tableau and/or Metabase (or similar tools). 📍You communicate clearly, take ownership, and can translate business questions into practical dashboards and reporting improvements.

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