Teams at Allica Bank

Build and optimize data solutions using GCP, BigQuery, Python, and SQL; automate processes; develop Looker dashboards and reports; translate business needs into technical solutions; resolve data quality and lineage issues; apply AI appropriately; and communicate insights to stakeholders across the bank.

Build, implement, monitor, and optimise IFRS9 credit risk, statistical, machine learning, and automated lending decisioning models. Responsibilities include data preparation, feature engineering, validation, monitoring, recalibration, root-cause analysis, policy optimisation, model deployment, documentation, and stakeholder collaboration across credit, finance, underwriting, data, and engineering teams.

Own end-to-end data engineering and BI delivery, including scalable ETL/ELT pipelines, data quality, Power BI semantic models, reports, dashboards, and recurring data processes. Maintain Synapse and Power BI tooling, support production incidents, ensure governance and reliability, and partner with stakeholders on trusted datasets. Enable self-service analytics and natural-language data access through AI. The role requires strong SQL, Azure, Power BI, and regulated-industry experience.