Business Data Analyst // Fin Crime
Our client, a leading Financial Institution is seeking a skilled Business Data Analyst to assist a Financial Crime due diligence project. They are seeking a highly analytical and detail-oriented Business Data Analyst to join their Financial Crime team. The ideal candidate will leverage data to uncover trends, insights, and risks associated with financial crimes such as fraud, money laundering, and other illicit activities. You will play a key role in monitoring, analyzing, and reporting on financial crime data, and supporting decision-making through advanced data analytics. Proficiency in SQL, Tableau / Power BI is essential to deliver clear and actionable insights.
Responsibilities:
- Analyze large datasets to identify trends, patterns, and anomalies related to financial crime.
- Design, develop, and maintain dashboards and reports using Tableau or Power BI to provide stakeholders with actionable insights.
- Write and optimize complex SQL queries to extract, manipulate, and analyze data from relational databases.
- Collaborate with the Financial Crime, Risk, and Compliance teams to define key performance indicators (KPIs) and risk metrics for monitoring financial crime activities.
- Perform root-cause analysis of suspicious transactions and provide detailed reports to senior management and relevant stakeholders.
- Support the development of anti-financial crime strategies and processes using data-driven insights.
- Assist in automating data reporting and visualization processes to improve efficiency.
- Ensure data quality, integrity, and security are maintained, adhering to compliance and regulatory requirements.
- Communicate findings, insights, and recommendations to both technical and non-technical stakeholders.
Requirements:
- Proven 8+ experience as a Business Data Analyst with a focus on Financial Crime (A MUST).
- Strong proficiency in SQL for querying, data manipulation, and reporting.
- Experience with data visualization tools such as Tableau or Power BI.
- Strong analytical skills with the ability to interpret complex data sets and present clear insights.
- Knowledge of financial crime regulations and best practices is preferred.
- Experience with scripting languages (e.g., Python, R) is a plus.
- Excellent communication skills with the ability to convey complex data findings to non-technical audiences.
If you think you have above skills and experiences, click ‘Apply’ button or send your resume to alex.nguyen@talentinternational.com