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Python Quantitative Developer

tribus • Hong Kong Sar
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AI Summary

Build robust Python applications and data pipelines that transform raw market data into production-ready datasets for systematic trading. Develop tooling used by quantitative researchers for research, backtesting, and strategy development. Collaborate with researchers, traders, and infrastructure engineers to solve complex engineering problems at scale.

Key Highlights
Work on data infrastructure powering systematic trading across APAC
Build production-ready datasets from raw market data
Develop tooling for quantitative research and strategy development
Key Responsibilities
Building robust Python applications and data pipelines that transform raw market data into production-ready datasets
Developing tooling used by quantitative researchers for research and strategy development
Working with large-scale datasets, optimizing storage, processing, and performance
Investigating data quality issues and ensuring highly accurate, reliable data across production systems
Collaborating closely with researchers, traders, and infrastructure engineers on technically challenging problems
Technical Skills Required
Python Pandas NumPy Polars
Benefits & Perks
Highly competitive compensation
Relocation support available
Opportunity to be based in Sydney or Hong Kong

Job Description


Python Quantitative Developer

Sydney or Hong Kong

Compensation Highly Competitive


I'm currently working with a leading quantitative trading firm looking to hire Python Developers to join a team building the data infrastructure that underpins systematic trading across APAC.

This is an opportunity to work directly alongside quantitative researchers and trading teams, building the data products and tooling that power research, backtesting and live trading.


What you'll be doing

  • Building robust Python applications and data pipelines that transform raw market data into production-ready datasets.
  • Developing tooling used by quantitative researchers for research and strategy development.
  • Working with large-scale datasets, optimising storage, processing and performance.
  • Investigating data quality issues and ensuring highly accurate, reliable data across production systems.
  • Collaborating closely with researchers, traders and infrastructure engineers on technically challenging problems.


What we're looking for

  • Strong Python engineering experience.
  • Excellent knowledge of data libraries such as Pandas, NumPy or Polars.
  • Experience working with large datasets and formats such as Parquet or HDF5.
  • Comfortable developing in Linux environments.
  • Strong problem-solving ability with an interest in performance and scalability.
  • Experience within financial markets


Why join?

  • Work on systems that have a direct impact on live trading.
  • Solve complex engineering problems at scale.
  • Collaborate with some of the strongest engineers and quantitative researchers in the industry.
  • Exceptional compensation and long-term career progression.
  • Opportunity to be based in either Sydney or Hong Kong with relocation support available.


If you're a strong Python engineer interested in high-performance systems, distributed data processing and working in one of the most technically demanding engineering environments, get in touch


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