Low-Latency Quant Data Engineer for High-Frequency Trading

J&D Technology Pte Ltd; Singapore; On-site; SGD 80,000 - 100,000; Full time

Job summary

A financial technology firm in Singapore seeks a Data Infrastructure Engineer to develop and maintain scalable data pipelines for high-frequency trading. The ideal candidate will have strong skills in Linux and C++, along with experience in Python for data orchestration. This role offers hands-on experience in a dynamic environment, working closely with quant researchers and AI engineers, with the potential to transition to full-time positions in Data or Systems Engineering.

Benefits

Direct mentorship from experts

Hands-on exposure to AI-driven infrastructure

Pathway to full-time roles

Qualifications

• Strong knowledge of Linux systems, shell scripting, and process management.
• Proficiency in C++ with experience in data structures and multithreading.
• Experience in Python, particularly with pandas and multiprocessing.
• Understanding of databases like ClickHouse and PostgreSQL.
• Basic familiarity with AI/ML workflows.
• Strong grasp of data engineering principles.

Responsibilities

• Build and maintain scalable data pipelines for high-frequency market data.
• Manage and optimize processes across Linux servers.
• Collaborate on integrating C++ modules into the data infrastructure.
• Implement tools for data ingestion and synchronization.
• Collaborate with AI engineers for multi-agent frameworks.
• Benchmark system performance and identify bottlenecks.
• Build health checks and diagnostic dashboards.

Skills

Linux systems engineering

Python

C++

Database management

AI/ML tools

Job description

A financial technology firm in Singapore seeks a Data Infrastructure Engineer to develop and maintain scalable data pipelines for high-frequency trading. The ideal candidate will have strong skills in Linux and C++, along with experience in Python for data orchestration. This role offers hands-on experience in a dynamic environment, working closely with quant researchers and AI engineers, with the potential to transition to full-time positions in Data or Systems Engineering.