APAC Campus Python Engineer — Data Pipelines

Tradermath; Singapore; On-site; SGD 90,000 - 140,000; Full time

Job summary

Jump Trading Group is seeking a highly capable APAC Python Engineer to join our data and analytics team in Singapore. You will build data pipelines, post-trade infrastructure, and analytics platforms used by traders, operations, and research across the firm.

You will work primarily in Python with production systems, ETL pipelines, and high-volume data processing, contributing to strategic initiatives and maintaining robust, scalable infrastructure in a fast-paced trading environment.

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, or a related field
• Proficient in Python with hands-on experience building and maintaining production systems
• Comfortable working on Linux — command line, debugging, and bare-metal environments
• Strong fundamentals in data structures, algorithms, and system design
• Solid debugging skills and the ability to navigate unfamiliar codebases quickly

Responsibilities

• Data pipelines — Develop and maintain ETL pipelines sourcing, normalizing, and delivering vendor and trading data
• Business-specific infrastructure — Build trading platforms supporting expansion into new businesses and markets
• Post-trade analytics — Partner with business teams to perform statistical analysis on trading performance
• Post-trade systems — Build and operate the infrastructure that processes every trade after execution
• Production ownership — Debug real incidents, trace data through the full pipeline, and own it

Skills

Python production

Data structures

Algorithms

System design

Ownership

Education

Bachelor's degree in Computer Science/Engineering

Tools

Kafka

MySQL

ClickHouse

Job description

Jump Trading Group is seeking a highly capable APAC Python Engineer to join our data and analytics team in Singapore. You will build data pipelines, post-trade infrastructure, and analytics platforms used by traders, operations, and research across the firm.

You will work primarily in Python with production systems, ETL pipelines, and high-volume data processing, contributing to strategic initiatives and maintaining robust, scalable infrastructure in a fast-paced trading environment.