Senior Front Office Java Engineer (Trading Systems)

Morgan Stanley

New York (NY)

On-site

USD 155,000 - 215,000

Full time

35 hours ago
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Job summary

Morgan Stanley’s Technology division is seeking a senior hands‑on Software Engineer at the Vice President level to support Agency trading systems within FICFX. This role demands strong technical judgment, independent execution, and ownership, with focus on time‑sensitive product support and rapid issue triage.

You will collaborate with front-office users, learn new technologies, and contribute to high‑quality delivery across complex systems while applying robust engineering fundamentals and

Qualifications

  • Bachelor’s degree or equivalent practical experience in CS/SE.
  • 10+ years of relevant experience expected for this senior role.
  • Knowledge of Agency MBS products, especially TBA or specified pool trading.
  • Familiarity with Agency pass-through pricing, analytics, pool characteristics, hedging workflows.
  • Experience with q/kdb, real-time data, distributed systems, shell scripting, databases, Agile delivery, or DevOps tooling.

Responsibilities

  • Communicate with product leads and discuss opportunities for improvement to existing and future technology solutions.
  • Design, develop, review, test, and improve software in complex existing systems.
  • Learn new languages and technologies as needed and apply AI coding tools where appropriate.
  • Own delivery with strong ownership and clear communication in a fast-moving trading environment.

Skills

q/kdb
Java
Scala
C++
Python

Education

Bachelor’s degree in Computer Science or Software Engineering

Tools

SQL

Job description

Morgan Stanley’s Technology division is seeking a senior hands‑on Software Engineer at the Vice President level to support Agency trading systems within FICFX. This role demands strong technical judgment, independent execution, and ownership, with focus on time‑sensitive product support and rapid issue triage.

You will collaborate with front-office users, learn new technologies, and contribute to high‑quality delivery across complex systems while applying robust engineering fundamentals and

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