High-Frequency KDB+/q Developer — Real-Time Trading

DYNAMIC HUMAN CAPITAL PTE. LTD.; Singapore; On-site; SGD 120,000 - 160,000; Full time

Job summary

Dynamic Human Capital Pte Ltd. is seeking an experienced KDB+/q Developer to join a front-office technology team supporting algorithmic and high-frequency trading.

You will develop and optimize KDB+/q applications for real-time market data and trading. The role requires hands-on experience with KDB+ Tick, time-series databases, and low-latency systems, plus strong Linux/Unix scripting and programming in Java, C++, or Python.

Qualifications

• 3–5+ years of software development experience with strong KDB+/q expertise.
• Hands-on experience with KDB+ Tick, time-series databases and low-latency systems.
• Strong Linux/Unix and scripting skills.
• Programming experience in Java, C++, or Python.
• Experience in capital markets, electronic/algorithmic trading, or market data.
• Strong understanding of performance tuning and latency optimization.
• Bachelor's degree in Computer Science, Engineering, Mathematics, Finance, or related field.

Responsibilities

• Develop and optimize KDB+/q applications for real-time market data and trading.
• Design and maintain KDB+ Tick architectures for high-volume, low-latency processing.
• Build time-series analytics and data solutions across Equities, FX, Futures, and other asset classes.
• Optimize system performance, latency, and scalability.
• Work closely with quants, traders, and technology teams on trading strategies and analytics.
• Support testing, deployment, troubleshooting, and production environments.

Skills

KDB+/q

Low-latency systems

Linux/Unix scripting

Java, C++, Python

Capital markets, trading

Education

Bachelor's degree in CS/Engineering/Math/Finance

Tools

KDB+ Tick

Time-series databases

Job description

Dynamic Human Capital Pte Ltd. is seeking an experienced KDB+/q Developer to join a front-office technology team supporting algorithmic and high-frequency trading.

You will develop and optimize KDB+/q applications for real-time market data and trading. The role requires hands-on experience with KDB+ Tick, time-series databases, and low-latency systems, plus strong Linux/Unix scripting and programming in Java, C++, or Python.