Teams at Cuscal Limited

Analyze transactional, behavioral, and intelligence data to identify fraud and emerging financial crime risks. Develop and optimize fraud detection rules, conduct network analysis and investigations, monitor detection performance, validate datasets and machine learning models, and recommend control improvements. Provide actionable insights on fraud trends to internal stakeholders and clients while escalating significant incidents and supporting continuous improvement.

Supports credit, market, and liquidity risk reporting for management, ALCO, regulatory obligations, and the Board. Develops analytical models, dashboards, stress tests, and automated reporting processes; improves data quality, controls, validation, and documentation. Translates complex risk data into actionable insights while partnering with risk, business, data, and technology teams. Applies financial risk expertise, automation, machine learning, and AI within controlled analytical environments.

Designs, develops, supports, and monitors data products using Databricks, data lakes, and analytics systems. Responsibilities include building ETL pipelines, managing large datasets, optimizing workflows, supporting analytics solutions, troubleshooting incidents, implementing secure and compliant data practices, and participating in client-facing discovery and delivery. The role includes collaboration with product and data teams and participation in a 24/7 on-call roster.