Join a dynamic team focused on mitigating risk and uncovering opportunities within financial and regulatory landscapes. This role involves leveraging data analytics and robust data governance to provide actionable insights and support critical business decisions. You will work with cutting-edge technologies and collaborate with various departments to drive value and enhance risk management strategies.

Design and build robust data pipelines using AWS services like Glue, Athena, and S3. Analyze complex datasets to generate business insights and develop clear reports and dashboards. Implement and maintain data quality standards and validation rules. Automate data processes and reporting workflows using Python and SQL. Collaborate with Risk, Finance, and IT teams to understand requirements and deliver effective solutions. Prepare essential liquidity reports and assist treasury teams with cash flow forecasting.

A Bachelor's or Master's degree in Finance, Engineering, Data Science, Economics, or a related field is required. Candidates should possess 6-8 years of experience in data analytics. A strong foundation in data governance frameworks and quality controls is essential. Proficiency in Python and SQL, along with experience in data visualization tools, is mandatory. Knowledge of liquidity risk management concepts, cash flow forecasting, and regulatory metrics is a significant advantage.