Quantitative Data Engineer (Python) for Trading

Susquehanna International Group, LLP; Council of the City of Sydney; On-site; AUD 180,000 - 240,000; Full time

Job summary

Susquehanna International Group, LLP is seeking a Quant/Python Developer for its APAC QDT to develop data pipelines and datasets used by quants and traders. The role involves collaborating with quantitative researchers, strategy developers, and traders across regions.

You will source, transform, and curate market data, build tools and pipelines, and ensure data quality across distributed clusters. The position is based in Sydney or Hong Kong, offering hands-on engineering in a high-performance

Qualifications

• Proficient in Python data stack and data formats used in finance.
• Experience handling large-scale datasets and scalable data pipelines.
• Strong Linux and networking fundamentals; ability to collaborate across regions.

Responsibilities

• Build and maintain derived datasets and data products for research and strategy work.
• Source, capture and curate market data from diverse formats (multicast/UDP feeds).
• Develop, maintain and deploy analytical tools and data pipelines for research and production.
• Own data quality, incident response, and timeliness of data across systems.
• Performance-tune storage and processing for large datasets on distributed clusters.

Skills

Python

NumPy

Pandas

Polars

Linux

Networking

Data pipelines

Financial data concepts

Communication

Tools

HDF5

Parquet

Job description

Susquehanna International Group, LLP is seeking a Quant/Python Developer for its APAC QDT to develop data pipelines and datasets used by quants and traders. The role involves collaborating with quantitative researchers, strategy developers, and traders across regions.

You will source, transform, and curate market data, build tools and pipelines, and ensure data quality across distributed clusters. The position is based in Sydney or Hong Kong, offering hands-on engineering in a high-performance