Description

You will lead the design and development of scalable data solutions for risk, compliance, and financial crime detection.

Responsibilities

• Define and implement end-to-end data architecture for risk and compliance systems, including AML transaction monitoring and KYC.
• Design data models, pipelines, and frameworks for sanctions screening and regulatory reporting.
• Develop highly available, fault-tolerant architectures for processing large-scale, real-time financial transactions.
• Implement data governance frameworks and security controls to meet global financial regulations.
• Automate ETL/ELT pipelines, data validation, and reconciliation processes.
• Provide technical leadership and mentorship to data engineers while managing the product backlog through to delivery.

Required Skills

• 5+ years of experience in data engineering or architecture.
• Deep expertise in Risk & Compliance, Sanctions Screening, and Anti-Money Laundering (AML).
• Experience designing big data architectures and cloud platforms.
• Knowledge of ETL processes.
• Practical understanding of FATF, OFAC, FinCEN, and GDPR regulations.
• Experience with data security best practices, including encryption, access controls, and audit trails.
• Ability to implement AI/ML-driven anomaly detection for fraud management.
• Degree in any graduate field.

Key Skills

Education

Any Gradute