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

Morgan Stanley Asia Limited; Hong Kong; On-site; HKD 900,000 - 1,500,000; Full time

Job summary

Morgan Stanley Asia Limited's Equities E-Trading Platform seeks a Senior KDB+/q Developer to design, build, and maintain KDB+/q components that support real-time data capture and analytics.

You will deliver enhancements across the full software lifecycle with a focus on reliability and data correctness, investigate production issues, and improve platform observability, backfill/recovery workflows, and performance of data pipelines.

Qualifications

• At least 5 years of KDB+/q experience with large financial datasets.
• Unix/Linux experience for production environments.
• Understanding of KDB architecture and time-series data workflows.
• Experience supporting process-oriented production systems.
• Ability to work directly with front-office users in a fast-moving environment.

Responsibilities

• Design, build, and maintain KDB+/q components for real-time data capture and analytics.
• Deliver end-to-end software lifecycle with reliability and data correctness.
• Investigate production and data-quality issues and implement durable fixes.
• Improve observability, monitoring, logging, and backfill/recovery workflows.
• Optimize q queries and data pipelines for performance and scalability.
• Collaborate with front-office users in a fast-moving environment.

Skills

KDB+/q

Unix/Linux

Front-office collaboration

Python scripting

Tools

Snowflake

Equities trading systems

Job description

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

Design, build, and maintain KDB+/q components that support real-time data capture and analytics generation.

Deliver enhancements across the full software lifecycle: requirements, development, testing, release, and production support, with a strong focus on reliability and data correctness.

Investigate production and data-quality issues, perform root-cause analysis, and implement durable fixes that reduce repeat incidents.

Improve platform observability and operational tooling, including monitoring, logging, alerting, and backfill/recovery workflows.

Optimize q queries and data pipelines for performance, scalability, and maintainability.

Contribute practical engineering ideas that improve delivery speed and platform robustness.

Required skills

At least 5 years of KDB+/q experience working with large financial datasets in Unix/Linux environments.

Understanding of KDB architecture and time-series data workflows in production.

Experience supporting process-oriented production systems.

Ability to work directly with front-office users in a fast-moving environment.

Preferred skills

Scripting/automation experience in Python.

Experience with Snowflake.

Experience with equities electronic trading systems.

Since our founding in 1935, Morgan Stanley has consistently delivered first-class business in a first-class way. Underpinning all that we do are five core values.

Since our founding in 1935, Morgan Stanley has consistently delivered first-class business in a first-class way. Underpinning all that we do are five core values.