KDB Developer

United States Digital Space LLC; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

United States Digital Space LLC in Singapore is seeking a highly skilled KDB+/q developer to design and optimize enterprise-grade Tick architectures and real-time market data processing for trading applications.

You will work with quant researchers and technology teams to implement time-series analytics, low-latency data pipelines, and scalable solutions across asset classes, with strong emphasis on performance, testing, and production support.

Qualifications

• Strong hands-on experience with KDB+/q and Tick architectures.
• Solid understanding of time-series data and high-performance data processing.
• Experience designing low-latency, high-throughput distributed systems.
• Familiarity with real-time market data feeds and electronic trading platforms.
• Proficiency in Linux/Unix environments and shell scripting.
• Proven programming skills in Java, C++, or Python alongside KDB+/q.

Responsibilities

• Design, develop, and maintain enterprise-grade KDB+ platforms supporting real-time market data and trading applications.
• Implement, customise, and optimise KDB+ Tick architectures for high-volume data processing.
• Develop q-based solutions for financial data modelling and time-series analysis.
• Analyse and optimise system performance to minimise latency across electronic trading platforms.
• Build scalable architectures for large real-time market data across multiple asset classes.
• Collaborate with quantitative researchers, algorithmic traders, and tech teams to backtest and deploy models.
• Develop data ingestion, storage, and retrieval for high-frequency datasets.
• Perform performance tuning and production support for KDB+ apps.
• Participate in system design, code reviews, testing, deployment, and knowledge sharing.
• Produce technical documentation for the development team.

Skills

KDB+/q

Tick architectures

Time-series databases

Low-latency systems

Real-time market data

Linux scripting

Java

C++

Python

Performance tuning

Education

Bachelor's degree

Job description

Key Responsibilities

• Design, develop, and maintain enterprise-grade KDB+ platforms supporting real time market data and trading applications.


• Implement, customise, and optimise KDB+ Tick architecturesfor high-volume, lowlatency market data processing.


• Develop solutions using the q programming language forfinancial data modelling, analytics, and time-series data processing.


• Analyse and optimise system performance to minimiselatency across proprietary electronic trading platforms.


• Build scalable architectures capable of handling large volumes of real-time market

data across Equities, Foreign Exchange (FX), Futures, and other asset classes.

• Collaborate closely with quantitative researchers, algorithmic traders, and technology teams to develop, backtest, and deploy quantitative trading models.


• Develop data ingestion, storage, and retrieval solutionsfor high-frequency financial datasets.


• Perform performance tuning, troubleshooting, andoptimisation of existing KDB+ applications.


• Participate in system design discussions, code reviews,testing, deployment, and production support.


• Produce technical documentation and contribute toknowledge sharing within the development team.

Required Technical Skills

• Strong hands-on experience developing applications using KDB+ and the q programming language.


• Proven experience implementing and customizing KDB+ Tick architectures.


• Strong understanding of time-series databases and high-performance data processing.


• Experience designing low-latency, high-through put distributed systems.


• Knowledge of real-time market data feeds and electronic trading platforms.


• Experience with Linux/Unix environments and shell scripting.


• Strong programming skills in one or more languages such as Java, C++, or Python alongside KDB+/q.


• Experience with performance tuning, profiling, and latency optimisation.

Domain Knowledge

The ideal candidate should have experience within capital markets or investment banking, including experience in one of:

• Electronic Trading (eTrading)


• Market Data Platforms


• Algorithmic Trading


• Quantitative Research


• Order Management Systems (OMS)


• Execution Management Systems (EMS)


• Equities, Foreign Exchange (FX), Futures, and other financial instruments


• Time-series financial data and market microstructure

Preferred Qualifications

• Bachelor's degree in Computer Science, Engineering, Mathematics, Finance, or a related discipline.


• Minimum 3 years or more of software development experience, including significant hands-on experience with KDB+/q.


• Experience working in investment banking, capital markets, hedge funds, proprietary trading firms, or financial technology organizations.


• Experience supporting front-office trading environments.


• Familiarity with cloud technologies and distributed computing is an advantage.