Assct Spclst, Data Analytics

About Northern Trust 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. We are seeking an experienced data analytics resource to support NTAM’s key analytics initiatives with a strong focus on delivering robust, scalable, and user-centric Machine Learning, Business Intelligence and data science solutions. This role will work closely with architects, data engineers, and business stakeholders to design and develop enterprise grade reports, dashboards, semantic models, and predictive models. This resource will also perform advanced SQL based data preparation and optimization, while applying data engineering and AI/ML techniques to enhance insights. The role is primarily BI engineering focused, with data engineering and applied ML/AI responsibilities, and is designed for a senior individual contributor who can operate independently, own requirements end to end and provide technical leadership within a global delivery model. This role is ideal for a hands-on resource who is strong in semantic modeling, performance optimization, and stakeholder engagement, and can adapt quickly across complex, multidomain analytics initiatives in the banking and financial services space. Prior Asset Management experience and a working knowledge of financial data will also be critical. Responsibilities: Apply working knowledge of data engineering and AI/ML (Python/R or similar) for targeted use cases such as forecasting, anomaly detection, and segmentation. Design and develop Power BI reports, dashboards, and executive scorecards aligned with business and regulatory requirements. Lead the design, build, and optimization of semantic models (tabular) using best practice data modeling and efficient DAX measures. Write, debug, and tune advanced SQL queries across platforms such as Snowflake, Azure SQL, or other enterprise data stores. Help drive AI driven insights generation and advanced analytics using Machine Learning techniques Implement and optimize Direct Query and hybrid models, focusing on performance, query folding, and scalability. Collaborate with solution architects, data engineers, analysts, and business users to gather requirements and deliver end to end analytics solutions.