Senior AML Systems & Data Analytics Lead (Hybrid)

BOQ Group; Sydney; On-site; AUD 140,000 - 190,000; Full time

Benefits offered by this job

Flexible working arrangements

Discounted financial products

Salary sacrificing options

Paid parental leave

Additional annual leave

Private health insurance

Employee Assistance Program

Employee network groups

Pride in Diversity membership

Job summary

BOQ Group is seeking a Senior AML Systems and Data Analyst to shape detection, monitoring and response to financial crime risks across the Group. The role blends financial crime expertise with data analytics, working on transaction monitoring, customer risk assessment and screening to optimise rules and models.

You will analyse emerging typologies, identify detection gaps and partner with Operations, Compliance, Risk, Technology and Data teams to improve monitoring capabilities.

Qualifications

• Experience in Financial Crime, AML, Fraud, Risk Analytics or Data Analytics in banking or financial services.
• Strong SQL skills with ability to work with large datasets.
• Experience designing or tuning detection rules, scenarios or models.
• Comfortable communicating with both technical and non-technical audiences.
• Interest in AI/ML or advanced analytics is desirable.

Responsibilities

• Review and tune detection scenarios for AML/CFT.
• Analyse large datasets to identify trends and gaps.
• Design, optimise and enhance detection rules, models and tools.
• Deliver analytical insights and regular reporting to stakeholders.
• Support change initiatives, governance, audits and regulatory reviews.
• Collaborate with Operations, Compliance, Risk, Technology and Data teams.

Skills

SQL

Python

Power BI

SAS Enterprise Guide

VBA

AML detection rules

Data analytics

Stakeholder engagement

Transaction monitoring

Customer risk assessment

Screening

NetReveal

Safer Payments

Tools

NetReveal

Safer Payments

SAS

Job description

BOQ Group is seeking a Senior AML Systems and Data Analyst to shape detection, monitoring and response to financial crime risks across the Group. The role blends financial crime expertise with data analytics, working on transaction monitoring, customer risk assessment and screening to optimise rules and models.

You will analyse emerging typologies, identify detection gaps and partner with Operations, Compliance, Risk, Technology and Data teams to improve monitoring capabilities.