Senior KDB+/q Developer for Real-Time Equities Trading

Morgan-Stanley; Hong Kong; On-site; HKD 800,000 - 1,200,000; Full time

Job summary

Morgan Stanley, a leading global financial services firm, seeks a KDB+/q Developer to build and support real-time data platforms for equities trading in a fast-paced front-office environment.

The role focuses on designing, implementing, and maintaining KDB+/q components, improving data quality, reliability, and observability across Unix/Linux systems. You will collaborate with traders and quantitative strategists to deliver robust data pipelines.

Qualifications

• 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.

Responsibilities

• 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.

Skills

KDB+/q

Unix/Linux

Time-series data

Tools

Python

Snowflake

Equities trading systems

Job description

Morgan Stanley, a leading global financial services firm, seeks a KDB+/q Developer to build and support real-time data platforms for equities trading in a fast-paced front-office environment.

The role focuses on designing, implementing, and maintaining KDB+/q components, improving data quality, reliability, and observability across Unix/Linux systems. You will collaborate with traders and quantitative strategists to deliver robust data pipelines.