AML / Fraud Data Analyst
Are you a seasoned Data Analyst ready to make an impact in financial crime detection? Apply Now!
Working with one of our top financial clients, this role calls for an AML / Fraud Data Analyst. This position involves collaborating across teams to analyze complex datasets, develop threat detection logic, and support incident response efforts to safeguard clients, employees, and assets. The role offers an excellent opportunity to contribute to a critical function within a dynamic, innovative environment.
Pay rate range (CAD): $72.46/hr – $86.96/hr
Responsibilities
- Collaborate with cross-functional teams to analyze data supporting incident response efforts.
- Develop threat detection logic using cross-domain datasets to identify emerging behaviors and patterns of threat actors.
- Support data and analysis needs during security incidents to enable swift response.
- Work with business partners to understand detection targets and design effective alerting mechanisms.
- Mentor junior team members in data handling and analytics best practices.
- Automate manual processes through programming to improve operational efficiency.
- Ensure compliance with all applicable policies, standards, and guidelines.
- Maintain meticulous attention to detail to ensure data accuracy and reliability.
- Contribute to continuous improvement initiatives within the Fusion Data & Analytics team.
- Engage regularly with stakeholders, including analysts, investigators, and business partners, to support incident investigations and threat detection.
Desired Skill-Set
- 5+ years of experience in data and analytics, particularly in financial crime detection, incident response, or related fields.
- Strong proficiency in SQL for data extraction.
- Experience with scripting languages such as Spark or Python for data cleaning, transformation, and analysis.
- Demonstrated ability to handle large, complex datasets with accuracy.
- Excellent collaboration skills and ability to work effectively in a team environment.
- Meticulous attention to detail and high standards of data quality.
- Autonomous working style with the ability to prioritize tasks effectively.
Nice to Have
- Prior experience within a financial institution.
- Knowledge of Neo4j graph database technology.
- Additional cybersecurity, AML, or fraud detection background.
- Experience working in a hybrid work environment.
BeachHead is an equal opportunity agency and employer. We advocate for our candidates and welcome applicants regardless of race, color, religion, national origin, sex, age, or physical or mental disability. BeachHead or our clients may use technology-enabled tools, including automation and artificial intelligence (AI), to support parts of the recruitment process such as resume screening, application management, and candidate matching. These tools assist our recruiters and our clients, and do not replace human decision-making. This job posting represents a current or anticipated vacancy. The position may be filled at any time, and the posting may be removed without notice once the role has been filled.