AI Architect and Data and Modelling Lead with over 10 years of experience in data engineering and modelling, proficient in SQL, SAS, Python, and R. Specialises in developing data-driven solutions for monitoring liquidity risk, deposit and overdraft performance, and pricing strategies. As a finance modelling developer, successfully led multiple financial modelling projects, including client behaviour maturity models and stress testing models, collaborating effectively with stakeholders across Treasury, Risk, and Finance departments. Additionally, a researcher in machine learning with extensive experience in the full-cycle development and management of in-house AI applications on AWS and Azure. Research areas include text mining, large language models (LLMs), generative AI, and traditional machine learning models.
– Analytical lead of developing data-driven solutions for unlocking business and revenue opportunities, key deliverables including new pricing models, Treasury FTP performance
analytics and customer behaviour analysis.
– Lead the automation of Tableau/Power BI dashboards for business performance monitoring, facilitating data-driven decision-making for both internal and external stakeholders.
– Prepare presentation materials and board papers for LT, covering product P&L, treasury/risk management (behaviour maturity
modelling, operating definition monitoring), and strategy tracking.
– Developed and reviewed balance forecasting and behaviour maturity models for optimising deposit/loan product revenue strategies.
– Created performance tracking reports and dashboards across various products, including merchants, cards, deposits, and international payments, enhancing operational visibility.
– Directed remediation and refund projects for liquidity and card products, ensuring compliance and customer satisfaction.
– Developed AI-based models to understand customer behaviour, focusing on new business conversion and retention. These insights helped RACQ to tailor its marketing and service
strategies, resulting in improved customer satisfaction and loyalty.
– Developed AI-based pricing models to analyse competitor pricing, informing RACQ’s pricing strategies for specific clients. This approach enabled RACQ to competitively position its
products, leading to increased market share and revenue.
– Instructed a geospatial risk course for master’s students, imparting advanced risk assessment skills.
– Developed deep learning algorithms for the detection and monitoring of 3D objects, contributing to advancements in spatial analysis and security.