Artificial Intelligence Data Integration Specialist at Northern Trust

Chicago, Illinois, United States

Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Financial Services, BankingIndustries

Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field
5+ years of experience in data engineering or integration, preferably in financial services or banking
Strong proficiency in Python, SQL, and data integration tools (e.g., Informatica, Talend, Apache NiFi, Airflow)
Experience with cloud platforms (Azure, AWS, GCP) and financial data services (e.g., Bloomberg, Refinitiv)
Familiarity with AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and model lifecycle management
Deep understanding of data governance, regulatory compliance, and risk management in banking
Excellent communication and stakeholder management skills

Architect and implement data pipelines that integrate structured and unstructured data from internal banking systems, external feeds, and cloud platforms for AI/ML use cases
Collaborate with data scientists, model risk teams, and business units to understand data requirements for AI models supporting credit risk, AML, KYC, and customer intelligence
Ensure data integration processes comply with regulatory requirements (e.g., BCBS 239, GDPR, CCAR, SR 11-7)
Build and maintain metadata management, data lineage, and audit trails for AI data assets
Support real-time and batch data ingestion from core banking systems, trading platforms, and third-party APIs
Optimize data workflows for performance, reliability, and cost-efficiency across hybrid cloud environments
Partner with cybersecurity and compliance teams to ensure data privacy, encryption, and access controls are enforced
Contribute to the development of enterprise-wide AI data architecture standards and governance frameworks