AML/CTF Data Analytics Specialist

People First Bank; Sydney; Hybrid; AUD 90,000 - 130,000; Full time

Benefits offered by this job

Hybrid working arrangements

Banking and health discounts

Training and study support

Generous leave benefits

Wellbeing program and EAP

Volunteer and community initiatives

Peer recognition program

Job summary

People First Bank is recruiting for an AML/CTF analytics role to strengthen its transaction monitoring and detection capabilities. You will use SQL and data analytics to identify unusual patterns, investigate risks, and translate insights into practical controls within a high-impact Financial Crime team.

The ideal candidate has 1+ years in financial crime analytics or data analytics, experience with transaction monitoring and data-driven detection, and familiarity with AML/CTF concepts.

Qualifications

• Experience in financial crime analytics or data analytics.
• Ability to use data to identify anomalies and explain findings.
• Familiarity with AML/CTF concepts and risk detection requirements.

Responsibilities

• Use SQL and data analytics to analyze large datasets and identify transaction and customer risk.
• Develop, test and refine transaction monitoring rules to improve detection effectiveness.
• Translate financial crime risks into practical detection strategies and controls.
• Collaborate with FC and first-line teams to implement data-driven controls.
• Investigate complex datasets to reveal patterns and emerging risks.
• Explain findings clearly to technical and non-technical stakeholders.

Skills

SQL & Data Analytics

Financial Crime

Risk Analytics

Communicate Findings

Tools

Python

R

Tableau

Power BI

Job description

People First Bank is recruiting for an AML/CTF analytics role to strengthen its transaction monitoring and detection capabilities. You will use SQL and data analytics to identify unusual patterns, investigate risks, and translate insights into practical controls within a high-impact Financial Crime team.

The ideal candidate has 1+ years in financial crime analytics or data analytics, experience with transaction monitoring and data-driven detection, and familiarity with AML/CTF concepts.