Quant jobs / Morgan Stanley

Senior KDB+/q Developer - Equities E-Trading Platform

Build KDB+/q data services for Morgan Stanley’s automated equity trading. The role supports real-time capture, analytics and recovery for market-making and hedging systems.

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.

Develop and optimise q analytics and data pipelines.
Investigate data-quality or production faults.
Improve monitoring and backfill or recovery procedures.

What they ask for

Required

KDB+/q
Large financial time-series data
Unix or Linux
Production-system support
Front-office communication

Preferred

Python
Snowflake
Equities electronic trading

Education: No degree requirement stated.
Experience: At least 5 years working with KDB+/q and large financial datasets.
Languages and tools: KDB+/q
Unix
Linux
Markets: equities

How to prepare

Build a real-time and historical tick-data store.
Profile q queries and test recovery after a feed interruption.
Add data-quality checks for an equity trading dataset.

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.