AML Fincrime test analyst

ITbility; Sydney; On-site; AUD 100,000 - 130,000; Full time

Job summary

A leading company in Sydney is seeking an AML Fincrime Test Analyst for a 6-month+ role. The position involves supporting the development of Financial Crime Risk detection systems, producing analytics reports, and collaborating with teams on prevention methods. Ideal candidates will have extensive experience in AML and Fincrime testing, along with strong programming skills in SQL, R, and Python.

Qualifications

• 8+ years overall experience, with 4+ years in AML and Fincrime testing.
• Proficiency in SQL, R, Python, Power BI.
• Excellent verbal and written communication skills.

Responsibilities

• Support development and enhancement of Financial Crime Risk detection systems.
• Produce data analytics reports related to Financial Crime Risk.
• Collaborate with cross-functional teams on financial crime prevention methods.

Skills

Programming languages

Analytics tools

Communication skills

Teamwork

Education

Additional qualifications in Data Science and Financial Crime Risk (e.g., ACAMS)

Tools

SQL

R

Python

Power BI

Databricks

Job description

AML Fincrime Test Analyst

Be among the first 25 applicants. Direct message the job poster from ITbility.

Our client in Sydney, Australia is seeking an AML Fincrime Test Analyst for a 6-month+ role. Please email [e-mail] for more details.

Responsibilities

• Support development, implementation, maintenance, and enhancement of Financial Crime Risk detection systems and data environment.
• Contribute to process and system documentation updates.
• Design technical data mappings, including transformation rules.
• Participate in data governance, business rule definition, and documentation.
• Produce data analytics reports related to Financial Crime Risk, including exploratory analytics and management reporting.
• Assist with financial crime projects and operational changes following regulatory updates.
• Collaborate with cross-functional teams on financial crime prevention methods.
• Support Financial Crime Operations and other projects impacting Financial Crime Risk.
• Liaise with operational and technology teams across the BOQ Group.
• Adhere to regulatory obligations and internal policies.
• Stay updated on new data analytics technologies and AML/CTF trends.

Minimum Experience & Skills

• 8+ years overall experience, with 4+ years in AML and Fincrime testing.
• Proficiency in programming languages and analytics tools (SQL, R, Python, Power BI); SQL skills preferred.
• Excellent verbal and written communication skills.
• Ability to work independently or in teams.

Desirable Attributes

• Additional qualifications in Data Science and Financial Crime Risk (e.g., ACAMS).
• Experience with Financial Crime detection systems, transaction monitoring, screening, and case management.
• Experience overseeing AML/CTF systems and controls.
• Experience in data infrastructure design and development.
• Proficiency in data analytics tools like Python, R, and Databricks.
• Knowledge of machine learning techniques.

Nice to Have

• Australian Banking experience.
• Lending and Test Automation experience.

All candidates must have full working rights in Australia. Only shortlisted candidates will be contacted.

To apply, submit your resume ASAP or email [e-mail].