Data Analytics Engineer
AI summary of the role
This role designs and implements AI/ML-driven data analytics solutions for investment management at a global financial institution.
What you’ll do
- Manage relationships with all stakeholders, with a focus on setting expectations and maintaining ongoing client satisfaction through effective project management and a strong commitment to customer service.
- Evangelize data strategist working through design, documentation, review and cross team negotiations to support strategic business and technology goals.
- Leads technology proof of concepts to ensure feasibility of architecture solutions.
- Provides architecture direction for engineers in support of a technical pattern.
What you’ll bring
- Advanced data analytics skills using ML, AI and GenAI.
- Expertise in designing data driven AI solution for complex business needs.
- Expert level understanding of relational database concepts, dimensional database concepts and database architecture and design, ontology and taxonomy design.
- Bachelor’s degree in Computer Science or a related discipline is required.
Technologies
ML · AI · GenAI · relational databases · NoSQL · ontology · taxonomy · Agile
About Northern Trust
Specialized custody and trust bank providing asset servicing, asset management, and ultra-high-net-worth wealth management for sophisticated institutions, family offices, and affluent individuals.
Public · 5000+ people
Source and classification
Deployment strategy · Evidence for this classification:
concepts, dimensional database concepts and database architecture and design, ontology and taxonomy design. Intellectual curiosity, inclination for independent and self-directed work, and attention to detail. Professional experience driving change, transformation, and process improvement initiatives. Manage relationships with stakeholders and executive leadership to achieve business outcomes Understanding of data security, cyber-security and PII management Deep understanding of relational and NoSQL data stores, methods and approaches. Roles and Responsibilities: Manage relationships with all stakeholders, with a focus on setting expectations and maintaining ongoing client satisfaction through effective project management and a strong commitment to customer service. Evangelize data strategist working through design, documentation, review and cross team negotiations to supportHow jobs are selected
Employer postings · Data from · Sources