remote
Senior Consultant, Financial Crimes - Data Analytics - KPMG
Software Engineer
Senior Consultant leading advanced data analytics for financial crime, leveraging Python, SQL, and machine learning to detect money laundering, corruption, and emerging threats while ensuring regulatory compliance.
About the role
Key Responsibilities
- Design, develop, and deploy predictive models and analytics solutions to identify and mitigate financial crime risks.
- Extract, transform, and analyze large datasets using SQL and Python, ensuring data integrity and quality.
- Collaborate with cross‑functional teams to translate regulatory requirements into actionable data insights.
- Present findings and recommendations to senior stakeholders through clear visualizations and reports.
- Continuously improve analytical frameworks and stay current with emerging financial crime trends and technologies.
Requirements
- 5+ years of experience in data analytics or data science within the financial services or compliance domain.
- Proficiency in Python, SQL, and machine learning libraries (scikit‑learn, TensorFlow, etc.).
- Strong knowledge of regulatory frameworks such as AML, FATF, and local compliance standards.
- Excellent communication skills and ability to explain complex technical concepts to non‑technical audiences.
- Experience with data visualization tools (Tableau, Power BI, or similar) is a plus.
Skills
pythonsqlmachine learning