KDB Developer

SYNECHRON TECHNOLOGIES SINGAPORE PTE. LTD.; Singapore; On-site; SGD 150,000 - 230,000; Full time

Job summary

SYNECHRON TECHNOLOGIES SINGAPORE PTE. LTD. is seeking an experienced KDB+/q developer to design, build, and optimize enterprise-grade platforms for real-time market data and trading applications.

You will implement Tick architectures, work with time-series data processing, and collaborate with quants and technology teams to deploy predictive models and high-performance analytics in a fast-paced financial environment.

Qualifications

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

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, low-latency market data processing.
• Develop solutions using the q programming language for financial data modelling, analytics, and time-series data processing.
• Analyse and optimise system performance to minimise latency across proprietary electronic trading platforms.
• Build scalable architectures capable of handling large volumes of real-time market data across Equities, FX, Futures, and other asset classes.
• Collaborate with quantitative researchers, algorithmic traders, and tech teams to develop, backtest, and deploy trading models.
• Develop data ingestion, storage, and retrieval solutions for high-frequency financial datasets.
• Perform performance tuning, troubleshooting, and optimisation of existing KDB+ applications.
• Participate in system design discussions, code reviews, testing, deployment, and production support.
• Produce technical documentation and contribute to knowledge sharing within the development team.

Skills

KDB+/q

Tick architectures

Time-series databases

Low-latency systems

Linux/Unix

Java

C++

Python

Latency optimisation

Education

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

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.

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

Domain Knowledge

• 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.