Quant jobs / Morgan Stanley

Ultra-low latency Trading Solution Developer, Vice President, Institutional Securities Technology

Develop low-latency exchange connectivity for Morgan Stanley. The platform supports quantitative clients using co-located high-frequency trading services.

What you’d work on

Our reading of the posting: what a new hire in this role would most likely spend their first months on.

Implement software and hardware-facing exchange connections.
Improve trading-path speed and production reliability.
Integrate client order flows and required risk controls.

What they ask for

Required

C++
Low-latency Linux systems
Python scripting
Technical communication

Preferred

TCP/IP or FIX

Education: No degree requirement stated.
Experience: Relevant technical experience expected; no minimum years stated.
Languages and tools: C++
Python
Linux
Markets: equities

How to prepare

Benchmark an exchange gateway under burst traffic.
Implement FIX parsing with deterministic validation tests.
Analyse latency and failure modes across a co-location trading path.

What to study

The HFT Quant Developer roadmap sets out the stages for this kind of role, with free resources for each.

Open the roadmap

Apply

Read the full posting on Morgan Stanley’s site before applying: requirements, location and pay can change after we check them.

View the posting on Morgan Stanley’s site ↗

SelfMadeQuant wrote this summary from the employer’s public posting, last checked 6 November 2026. SelfMadeQuant isn’t affiliated with Morgan Stanley and doesn’t handle applications.