Data Architecture & Solution Design:
- Define and implement end-to-end data architecture for risk and compliance systems ensuring scalability, security, and performance.
- Design data models, pipelines, and frameworks to support Sanctions Screening, AML Transaction Monitoring, KYC, Fraud Analytics, and Regulatory Reporting.
- Develop highly available, fault-tolerant architectures for processing large-scale, real-time financial transactions.
Data Governance & Compliance:
- Ensure data integrity, quality, security, and privacy across all risk and compliance systems.
- Implement data governance frameworks aligned with global financial regulations (FATF, OFAC, FinCEN, GDPR).
- Establish audit trails, access controls, and encryption to meet security and regulatory standards.
Performance Optimization & Automation:
- Optimize query performance, indexing strategies, and distributed computing for large-scale datasets.
- Automate ETL/ELT pipelines, data validation, and reconciliation processes to improve accuracy and efficiency.
- Implement AI/ML-driven anomaly detection for fraud and risk management.
Collaboration & Leadership:
- Partner with Risk, Compliance, AML, and Fraud teams to define data requirements and align technology solutions with business objectives.
- Manage product backlog through to delivery.
- Provide technical leadership and mentorship to data engineers, ensuring adherence to best practices in data architecture and security.
- Engage with executive leadership and stakeholders, delivering strategic insights and technical recommendations