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Senior Data Intelligence Expert

2 weeks ago

Brisbane, Queensland, Australia beBeeDataAnalyst Full time $120,000 - $180,000
About the Role

We are seeking an experienced Data Analyst to join our Financial Crime Operations team. In this role, you will be responsible for fortifying our financial crime detection systems by tackling Anti-Money Laundering (AML), Counter Terrorism Financing (CTF), Transaction Monitoring, Politically Exposed Persons, and Sanctions Screening.

As a Senior Data Analyst, you will unleash the power of data and analytics to identify, manage, and mitigate financial crime risk. You will have strong analytical skills and an eye for detecting financial irregularities.

Key Responsibilities:
  1. Produce regular data analytics deliverables related to Financial Crime Risk, including exploratory data analytics and end-of-month management information reporting.
  2. Manage the AML project pipeline, identifying and triaging Transaction Monitoring trigger events, and prioritizing the pipeline backlog.
  3. Define and manage the process for new or modified detection scenarios, covering business requirements gathering, feasibility assessment, build, test, calibration, and decisions on implementation.
  4. Collaborate with stakeholders to align pipeline tasks with organizational goals, incorporating emerging risk findings into actionable outcomes.
  5. Lead the change management and post-implementation processes for detection scenarios, ensuring effective integration into operations.
  6. Deliver recommendations from detection scenario reviews, incorporating findings from emerging risk assessments into actionable outcomes, and oversee the implementation of pipeline deliverables based on these recommendations.
  7. Facilitate inquiries by liaising across operational, risk, and technology teams within the organization.
  8. Ensure compliance with AML/CTF regulations and policies, while staying updated on emerging technologies and trends to enhance pipeline analytics.
Systems:
  1. Support the development, implementation, maintenance, and enhancement of Financial Crime Risk detection systems and data environment.
  2. Provide application support for the Financial Crime detection systems.
  3. Contribute to the development, review, and update of process and system documentation.
  4. Contribute to the design of technical data mapping from source to target including transformation rules.
  5. Play a key role in data governance processes and procedures, including the definition, documentation, and refinement of business rules relevant to pipeline deliverables.
Required Skills and Qualifications:
  • Previous experience working in a similar role preferably within financial crime, data analytics, or pipeline management activities.
  • Bachelor's or Master's in Data Science, Finance, Computer Science, or a related field.
  • Proficiency in programming languages and data analytics tools (SQL, R, Python, Power BI, Data Bricks).
  • Excellent communication skills, both verbal and written.
  • Ability to work independently or in a team environment.
Benefits:
  • Additional training/qualifications in Data Science and Financial Crime Risk e.g., Association of Certified Anti-Money Laundering Specialists (ACAMS).
  • Experience working with Financial Crime systems - detection/transaction monitoring, screening, and case management.
  • Experience in overseeing and implementing AML/CTF or Sanctions systems and controls such as transaction monitoring and sanctions screening processes.
  • Previous working in a digital banking environment.
  • Knowledge in data infrastructure design and development.