Risk Data Analytics Expert - Digital Bank

What you'll do

We are seeking a highly motivated and analytical Risk Data Analytics Expert to strengthen and scale our enterprise risk management capabilities across Fraud Risk, Credit Risk, Market & Liquidity Risk, and Operational Risk in our digital banks

In this role, you will:

• Design, develop, and maintain robust risk data marts to serve as the single source of truth for risk reporting, analytics, and modelling.
• Build and optimize data pipelines, tools, and automation solutions to enhance the accuracy, efficiency, and scalability of risk management processes.
• Provide reliable business-as-usual (BAU) support to ensure the stability and integrity of risk data and reporting workflows.
• Partner closely with risk, technology, and business stakeholders to gather requirements and translate them into scalable data solutions.
• Drive end-to-end solution delivery, effectively bridging risk and technology teams.
• Perform data and system analysis to identify enhancement opportunities, improve data quality, and streamline operational processes.
• Contribute to continuous improvement initiatives that elevate risk data governance and control standards.

Requirements

• Bachelor's degree in Data Science, Computer Science, Statistics, Finance, Engineering or a related discipline.
• Minimum 3 years of experience in data engineering, data product management, or data analytics is preferred
• Proficiency in SQL and Python for data transformation, automation, and analytics.
• Solid understanding of data warehousing architecture and data modeling concepts.
• Strong analytical thinking and problem-solving skills with attention to detail.
• Effective communication skills with the ability to engage and manage cross-functional stakeholders.
• Self-driven, adaptable, and able to thrive in a fast-paced environment.
• Experience in Agent engineering or AI-driven process automation is a plus.