remote
Delivery Lead, Financial Crime Analytics - ANZ
Software Engineer
Lead the design and delivery of real‑time monitoring, detection and decisioning solutions for financial crime, leveraging data analytics, machine learning and cloud platforms to protect the bank and meet regulatory requirements.
About the role
Key Responsibilities
- Define and own the end‑to‑end delivery roadmap for financial crime analytics solutions, including monitoring, detection and real‑time decisioning.
- Collaborate with data scientists, engineers and business stakeholders to translate risk requirements into scalable analytics models and dashboards.
- Drive implementation of machine‑learning models, rule‑based engines and data pipelines on cloud infrastructure (e.g., AWS).
- Ensure solutions meet regulatory standards, auditability and performance targets across production environments.
- Mentor and lead cross‑functional delivery teams, fostering agile practices and continuous improvement.
Requirements
- 5+ years of experience delivering data‑driven solutions in financial crime, AML or fraud detection.
- Strong proficiency in Python and SQL for data manipulation, model development and automation.
- Hands‑on experience with machine‑learning techniques and their operationalisation in a cloud environment (AWS preferred).
- Demonstrated ability to lead multidisciplinary teams and manage complex delivery timelines.
- Excellent communication skills to influence stakeholders and translate technical concepts into business outcomes.
Skills
pythonsqlmachine learningaws