Senior Ai-enabled Engineer, Vice President

BlackRock UK

London, United Kingdom
On-site
Ai-enabled sdlc/pdlc practices
Enterprise scale distributed systems design
Core java and ui technologies
Our technology supports Portfolio Management teams overseeing over $14 trillion in assets, and the products you build will sit at the heart of tools used daily by investors making decisions that impact millions of people worldwide

Job Summary

  • Our technology supports Portfolio Management teams overseeing over $14 trillion in assets, and the products you build will sit at the heart of tools used daily by investors making decisions that impact millions of people worldwide.
  • Aladdin Portfolio Management Engineering is a global team of passionate product engineers who are on a mission to build out a next generation platform of persona based, workflow driven experience with a horizontally scalable & modular architecture.
  • To help you stay energized, engaged and inspired, we offer a wide range of employee benefits including: retirement investment and tools designed to help you in building a sound financial future; access to education reimbursement; comprehensive resources to support your physical health and emotional well-being; family support programs; and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.

Matching Summary

Our technology supports Portfolio Management teams overseeing over $14 trillion in assets, and the products you build will sit at the heart of tools used daily by investors making decisions that impact millions of people worldwide.

Skills & Requirements

Must-have

  • AI-enabled SDLC/PDLC practices
  • Enterprise scale distributed systems design
  • Core Java and UI technologies
  • API design principles & Event Driven Architecture
  • TDD & BDD experience

Nice-to-have

  • Domain Driven Design (DDD)
  • Front office Portfolio Management experience
  • Asset classes & analytics domain knowledge
  • Cloud native and hybrid architectures
  • Modern DevOps and platform engineering practices

Key Requirements

  • 6+ years of proven experience
  • B.S. / M.S. degree in a STEM field
  • Senior Engineer or Team Lead experience
  • Work definer at scale experience
  • AI enabled SDLC / PDLC practices experience

Work Rights

Not specified

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