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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.

Oversee Cuscal’s credit risk framework, including credit limits, exposures, risk models, policies, applications, reviews, and chargeback risk methodologies. Provide independent oversight of first-line credit risk practices, emerging risk analysis, regulatory engagement, Board and committee reporting, remediation support, and training. Use data-driven insights to strengthen portfolio performance and ensure compliance with APRA requirements.

Leads enterprise technology risk management across frameworks, controls, reporting, incident response, vendor assessments, and governance. The role embeds risk practices, develops KRIs and KPIs for executives and the board, manages technology risk committees, supports mitigation and issue remediation, and addresses risks from AI and emerging technologies. It also drives controls automation and promotes innovative risk management practices within a financial services environment.

Deploys, operates, secures, and maintains enterprise integration infrastructure across development, staging, and production. Responsibilities include managing messaging and API platforms, building infrastructure as code with Terraform, Ansible, and Helm, operating CI/CD pipelines, supporting Kubernetes and Docker, and implementing high availability, disaster recovery, monitoring, certificate management, and secrets handling. The role also creates operational documentation and collaborates with engineering, cloud, cybersecurity, identity, and vendor teams.