Compliance SW Engg

As a global leader in innovative wealth management, asset servicing, asset management and banking services, Northern Trust (Nasdaq: NTRS) is proud to guide the world's most successful individuals, families, corporations and institutions.

As a global leader in innovative wealth management, asset servicing, asset management and banking services, Northern Trust (Nasdaq: NTRS) is proud to guide the world's most successful individuals, families, corporations and institutions. Since 1889, we have aligned our efforts with our three guiding Principles That Endure:
Service, Expertise, and Integrity. Together, they reflect the three cornerstones of business conduct which we strive to instill in our employees, whom we call partners, and to provide to our clients and the communities we serve worldwide. With more than 135 years of financial experience and over 24,000 partners, we serve the world's most sophisticated clients using leading technology and exceptional service.

• Serve as a technical lead for eCommunication Surveillance, Trade Surveillance, and Employee Ethics Monitoring platforms, supporting enterprise compliance, conduct risk, and regulatory obligations.
• Partner with Compliance Technology Managers, Engineering Leads, and Compliance stakeholders to deliver strategic surveillance technology capabilities and platform enhancements.
• Provide technical leadership across multiple surveillance initiatives, ensuring solutions are scalable, secure, resilient, and aligned with enterprise architecture standards.
• Lead solution design reviews and technology assessments for new surveillance use cases, data sources, and regulatory requirements.

• Evaluate and implement emerging AI and Machine Learning capabilities to improve detection, monitoring, alert generation, risk scoring, and investigative workflows.
• Stay current on industry trends related to AI-driven surveillance, behavioral analytics, communication monitoring, and anomaly detection.
• Partner with vendors and internal stakeholders to assess innovative surveillance capabilities and rapidly validate value through proofs of concept (POCs) and pilot programs.
• Drive the adoption of advanced analytics and data science capabilities within surveillance platforms while ensuring governance and explainability requirements are met.
• Assess AI model performance, data lineage, model governance considerations, and operational controls impacting regulatory compliance.

• Lead integration efforts across surveillance platforms including solutions such as Global Relay, Trading Hub, ACA, and other compliance technology providers.
• Design scalable integration patterns supporting structured and unstructured data ingestion from enterprise sources.
• Collaborate with SaaS vendors to onboard new capabilities, define integration requirements, troubleshoot implementation challenges, and optimize platform performance.
• Support vendor evaluations, product assessments, RFP activities, roadmap reviews, and technical due diligence efforts.
• Establish technical standards for vendor connectivity, API integration, data exchange, monitoring, and operational support.

• Design secure and scalable architecture patterns supporting enterprise surveillance platforms and associated data ecosystems.
• Partner with enterprise architecture teams to define data integration strategies leveraging data mesh, event-driven architecture, APIs, and cloud-native services.
• Ensure adherence to enterprise security standards, including encryption, key management, data masking, access controls, and secure transmission protocols.
• Evaluate architecture impacts related to SaaS deployments, third-party hosting models, cloud security requirements, and regulatory data protection obligations.
• Support data retention, legal hold, records management, and audit requirements across surveillance platforms.
• Define technical patterns supporting high-volume data ingestion, normalization, enrichment, and reporting capabilities.

• Establish data quality frameworks, reconciliation processes, and monitoring controls to ensure integrity of surveillance datasets.
• Partner with Compliance and Risk teams to define data governance standards, metadata requirements, lineage tracking, and quality metrics.
• Develop reporting and monitoring capabilities…