Sr. Quantitative Developer

Job Summary:

Role: Sr. Quantitative Developer

Start: ASAP

Duration: 12 Months

Location: Singapore

We are seeking an experienced Senior Quantitative Developer to design, build, and optimize high-performance data systems within a banking environment. This role focuses on developing production-grade applications using KDB+ and q, with a strong emphasis on time-series data processing, scalability, and system performance.

The ideal candidate has deep expertise in KDB+/q development, strong system design capabilities, and experience working in low-latency, high-volume financial data environments.

Job Qualifications and Requirements:

- 8–10 years of experience in software development, with strong focus on KDB+/q.

- Proven hands-on experience with KDB+ and q language in production environments.

- Strong expertise in time-series data processing and large dataset optimization.

- Experience designing and scaling KDB+ systems in live production environments.

- Solid understanding of system design, application architecture, and data management principles.

- Experience building high-availability and resilient systems (failover, load balancing, performance tuning).

- Experience in banking or financial services domain.

- Strong analytical and problem-solving skills.

Preferred / Advantage:

- Exposure to real-time data processing or low-latency trading systems.

- Familiarity with Linux/Unix environments and distributed systems.

- Experience with integration frameworks, APIs, or messaging systems

Roles and Responsibilities:

- Design, develop, and maintain high-performance KDB+ applications using q language.

- Build and optimize time-series data solutions for large-scale financial datasets.

- Develop production-grade systems with a focus on scalability, reliability, and low latency.

- Implement and manage high-availability architectures, including failover, load balancing, and resilience strategies.

- Perform performance tuning and optimization of KDB+ systems and queries.

- Work on data modeling, ingestion, and storage strategies for time-series data.

- Collaborate with cross-functional teams to define system architecture and technical solutions.

- Support production systems, including troubleshooting, root cause analysis, and continuous improvements.

- Ensure adherence to best practices in coding, testing, and deployment.

- Communicate complex technical concepts effectively to both technical and non-technical stakeholders.

Please send your application highlighting:

- Your relevant experience

- Current/expected salary

- Availability information

- A latest MS-WORD Resume

**We regret that only short-listed applicants will be contacted.**

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