To support the FP&A function by preparing detailed financial reports, forecasts, and analysis to drive effective decision-making. This role focuses on product analysis, pricing & cost effectiveness of each product, campaign & promotion for strategic decision. To monitor the trends of existing products and highlight on business improvement with precise & accurate financial & non-financial information. To support the FP&A function by preparing detailed financial reports, forecasts, and analysis to drive effective decision-making. This role focuses on product analysis, pricing & cost effectiveness of each product, campaign & promotion for strategic decision. To monitor the trends of existing products and highlight on business improvement with precise & accurate financial & non-financial information. Create and manage dynamic and scalable financial models, developing compelling outputs that track current business metrics, performance, and cost projections. Develop financial models and cost projections for new business initiatives, product developments, products pricing/bundling and other ad-hoc requests to propose the strategic plans to the management. Provide management with timely finance-related analysis and recommendations across a range of critical business decisions Develop business case for re-development and asset enhancement initiatives Carry out financial and cost analysis for ad-hoc requests or new business initiatives to come up with feasible financial plans Facilitate the executive management team on deciding long-/mid-/short-term strategic options and objectives Take part in the new product development process then develop the financial forecast, budget and feasible operational process. Perform profitability and performance analysis for current bank products and provide recommendations to optimize the financial performances Ad-hoc project or tasks assigned by HOD
Design, build, and maintain the infrastructure and tools required to train, deploy, and monitor machine learning models at scale. Collaborate with Data Scientists to productionize ML models, ensuring reliability, security, and performance. Implement MLOps practices including CI/CD pipelines, automated retraining, model versioning, and monitoring. Work within the Microsoft Azure ecosystem (Azure ML, Databricks, Synapse, Data Lake, Fabric) to support AI/ML workloads. Optimize models for scalability and latency in production environments. Build and manage feature stores and model registries to streamline AI development. Integrate AI models with enterprise systems (APIs, Power BI, Microsoft 365 apps). Develop monitoring dashboards to track model drift, accuracy, and performance. Partner with Data Engineers to ensure robust data pipelines feed into ML models. Document processes and ensure compliance with data governance, privacy, and auditability requirements. Stay up to date on emerging ML engineering and cloud technologies to improve operational efficiency.
Assist in day-to-day office tasks such as filing, photocopying, scanning, and data entry. Maintain accurate records and documents. Support internal and external communication (emails, phone calls, messages). Assist with basic data entry and report preparation using MS Office tools or banking software.