Data & Intelligence Analyst, Financial Crime

Description:

Role Summary
Sitting in the 2LoD Financial Crime team this Analyst plays a critical role in leveraging data analytics and intelligence to detect, prevent, and mitigate financial crime risks. This role involves analysing large datasets, identifying emerging threats, and enhancing the organization's financial crime risk management framework through data-driven insights and advanced analytics.
Key Responsibilities

• Financial Crime Analytics: Utilize data analytics to identify suspicious activity related to money laundering, fraud, and other financial crimes.
• Risk Identification & Intelligence Gathering: Analyse patterns, trends, and anomalies to provide intelligence to the financial crime teams and regulatory bodies.
• Model Development & Optimization: Support the enhancement of transaction monitoring models by refining detection rules, reducing false positives, and improving risk indicators.
• Collaboration with Stakeholders: Work closely with Compliance, Risk, IT, and Data Science teams to strengthen financial crime risk controls and analytics capabilities.
• Advanced Data Analysis & Reporting: Utilize tools like SQL, SAS, VBA and visualisation tools to extract insights, develop dashboards, and support investigations.
• Continuous Improvement: Stay informed on emerging financial crime trends, regulatory changes, and advancements in data-driven risk detection.
• Regulatory Compliance & Reporting: Ensure compliance with AML/CTF regulations and contribute to regulatory filings, audits, and risk assessments.

Skills & Qualifications

• 3-5 years of experience in financial crime trend analysis, transaction monitoring in a data-rich environment.
• Strong analytical skills with experience in SQL, Python, R, or similar data analysis tools.
• Knowledge of AML/CTF regulations, financial crime risk management and reporting requirements.
• Ability to produce meaningful insights from large and complex data sets and communicate findings effectively to stakeholders.
• Bachelor's Degree in Finance, Business, Data, Engineering or relevant.

Why Join Us?

• Be part of a multi-year, high profile Financial Crime Transformation Program.
• Play a pivotal role in safeguarding financial systems against crime.
• Work with advanced data analytics tools in a highly collaborative environment.
• Opportunities for career growth and professional development in financial crime intelligence.

To apply please click on the ‘Apply’ button or send your CV to Eugena Gong at eugena.gong@talentweb.com.au