We are looking for a highly skilled and detail-oriented Senior Technical AML Data Analyst to support and enhance our Anti-Money Laundering (AML) data initiatives.
This role requires strong technical expertise in data analysis, regulatory reporting (including FinTRAC), and the ability to manage large-scale data environments.
The ideal candidate will have hands-on experience with PL/SQL, Python, and ETL processes, and will play a key role in implementing data controls and supporting compliance efforts.
Key Responsibilities:
- Analyse and support AML data projects, ensuring compliance with internal policies and regulatory requirements.
- Contribute to the successful implementation of FinTRAC reporting and related compliance frameworks.
- Manage and process large volumes of data efficiently, ensuring accuracy, consistency, and performance.
- Design and implement data quality checks, ETL controls, and validation processes to ensure data integrity.
- Develop and maintain complex queries and scripts using PL/SQL, Python, and other relevant tools.
- Collaborate with cross-functional teams including Compliance, IT, and Data Engineering to deliver AML solutions.
Provide technical insights and recommendations to improve data processes and reporting capabilities.
Skills Required:
- Strong understanding of FinTRAC regulations and reporting requirements.
- Proficiency in PL/SQL, Python, and ETL tools and frameworks.
- Experience working with large datasets and implementing data controls.
- Excellent analytical, problem-solving, and communication skills.
- Ability to work independently and collaboratively in a fast-paced environment.
Minimum Years of Experience:
- 5+ years of experience in data analysis with a focus on AML or regulatory compliance