About the Role
We are seeking a highly analytical and detail-oriented Compliance Data Analyst to join our Compliance team. This role is ideal for professionals who combine strong technical data analysis skills with an understanding of regulatory compliance and financial crime risk management.
The successful candidate will support compliance risk management activities by analyzing large datasets, developing automated reports, identifying potential compliance risks, and providing actionable insights to support regulatory requirements and internal governance.
Key Responsibilities
- Analyze large volumes of compliance and transactional data to identify trends, anomalies, and potential regulatory risks.
- Develop, optimize, and maintain complex SQL queries for compliance monitoring and reporting.
- Support Compliance, AML, KYC, Sanctions, and Financial Crime teams through data-driven analysis and reporting.
- Produce regular and ad hoc management reports, dashboards, and key risk indicators (KRIs).
- Validate data quality and ensure the accuracy, completeness, and integrity of compliance-related information.
- Identify opportunities to automate manual reporting processes using SQL or other analytical tools.
- Support regulatory examinations, internal audits, and compliance investigations by providing timely and accurate data analysis.
- Contribute to the continuous enhancement of compliance monitoring frameworks and data governance practices.
Qualifications
- Bachelor’s degree in Computer Science, Information Systems, Statistics, Engineering, Mathematics, Finance, Business Administration, or a related discipline.
- 2–5 years of experience in data analytics, preferably within the banking and financial services.
- Advanced proficiency in SQL, Python, including writing complex queries, joins, aggregations, and performance optimization.
- Strong analytical and problem-solving skills with exceptional attention to detail.
- Experience with Microsoft Excel (advanced level) and VBA for reporting automation is highly desirable.
- Experience with BI and visualization tools such as Power BI, Tableau, or similar platforms is an advantage.
- Familiarity with relational databases and data warehouse concepts.
- Strong communication skills with the ability to present analytical findings to both technical and non-technical stakeholders.
- Experience working in Financial Security Compliance, AML, KYC, Sanctions Screening, Transaction Monitoring.
- Understanding of data governance and data quality principles.
- Professional proficiency in English (written and spoken).
