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Financial Crime Data Analyst - Quilter
Data Analyst
Financial Crime Data Analyst responsible for detecting, investigating, and reporting suspicious activities using Python, SQL, and advanced data visualization tools to support compliance and risk mitigation in a wealth‑management environment.
About the role
Key Responsibilities
- Analyze large datasets to identify patterns indicative of money laundering, fraud, and other financial crimes.
- Develop and maintain automated dashboards and reports using Python and SQL to track key risk indicators.
- Collaborate with compliance, risk, and legal teams to investigate flagged transactions and produce detailed findings.
- Implement data mining techniques and statistical models to enhance detection capabilities.
- Document methodologies, maintain audit trails, and ensure adherence to regulatory requirements.
Requirements
- Proven experience in data analysis within a financial services or compliance context.
- Strong proficiency in Python (pandas, NumPy) and SQL for data extraction and manipulation.
- Experience with data visualization tools such as Power BI, Tableau, or similar.
- Knowledge of AML/KYC regulations and financial crime frameworks.
- Excellent analytical, problem‑solving, and communication skills.
Skills
pythonsqldata analysis