Job offer

Lead Engineer Wealth Mgmt Client360

The Lead Engineer Wealth Mgmt Client360 is responsible for leading a high priority project aimed at creating a client 360 view and developing innovative solutions for Northern Trust's Wealth Management division. The candidate should have experience in financial institutions, particularly in wealth management, as well as knowledge in areas such as machine learning, data management and cloud technologies.

Job description

Tasks

  • Leading the Client360 initiative, a high priority and visible project that is fundamental to the WM data strategy
  • Entwicklung von Lösungen, die die Frage beantworten:
    • Who is our customer?
    • What does our customer have?
    • How does our customer behave?
  • Erstellung von wiederverwendbaren Datenprodukten und -dienstleistungen, die Client-Facing- und Partner-Facing-Anwendungen integrieren und vereinen
  • Integration von Daten, Empfehlungen und Erkenntnissen, um Partnern zu helfen, Wachstum durch verschiedene Kanäle zu fördern
  • Weiterentwicklung von Datenpraktiken durch den Einsatz von Machine Learning, Generative AI, LLMs und anderen wachsenden Technologien
  • Sicherstellung einer überlegenen Kundenerfahrung und Festlegung von Standards für Datenqualität, Datenzuverlässigkeit und Datensicherheit

Requirements

  • Experience in the financial sector, preferably in wealth management
  • Verständnis für die Bedeutung von Technologie, insbesondere im Hinblick auf Public/Private Cloud, Datenmanagement und Finanzdienstleistungsregulierung
  • Erfahrung in:
    • Knowledge Graphs
    • Entity Resolution
    • Recommendation Engines
    • Search Engines
    • LLMs
  • Strong understanding of APIs and data distribution methods, including GraphDB, Redis, streaming and others
  • Experience with:
    • Open API and/or Swagger
    • Test frameworks such as Jest, Mocha, Playwright etc.
    • Neo4J Graph Database
    • Relational databases such as Oracle, SQL Server
    • Document DBs such as MongoDB or Cosmos DB Engines
  • Strong understanding of data modeling techniques and their application
  • Experience with Data Integration Platforms: Databricks, Snowflake etc.
  • Experience with Data Lakehouse and Medallion Architecture
  • Strong understanding of messaging and streaming technologies such as Kafka, Azure Event

We offer

  • Salary range: $114,500 - $194,700 USD
  • Comprehensive benefits package, including:
    • Pension benefits (401k and pension)
    • Health and welfare benefits (medical, dental, vision, spending accounts and disability)
    • Paid vacation
    • Parental and care leave
    • Life and accident insurance
    • Other voluntary and wellness services
  • Discretionary bonus program that may include an equity component
  • Flexible and collaborative working culture
  • Promoting movement within the company
  • Access to senior executives

Job details

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