Quantitative Python Developer - Systematic Trading - J13085

Pinpoint Asia; Hong Kong Island; On-site; HKD 900,000 - 1,300,000; Full time

Job summary

Pinpoint Asia is recruiting a Quantitative Python Developer for systematic trading in Hong Kong. You will design high-performance research infrastructure, backtesting engines, and distributed data pipelines, with no mandatory prior finance experience.

You will collaborate with researchers and data engineers to translate complex ideas into production software while optimizing for performance and reliability in a fast-paced, technology-driven environment.

Qualifications

• BS/MS/PhD in CS, Math or related STEM field is required.
• Strong Python with performance-focused NumPy/Pandas/Polars.
• Solid software design, data structures, algorithms, Linux proficiency.
• Experience with Git, CI/CD and automated testing, profiling tools.

Responsibilities

• Build and scale backtesting engines and portfolio construction tools.
• Design Python APIs and libraries for production research workflows.
• Develop scalable data pipelines and distributed processing for large datasets.
• Maintain CI/CD, automated tests, and performance profiling practices.
• Collaborate with Quant researchers and data engineers to translate needs.

Skills

Python

NumPy

Pandas

Polars

C++

Rust

Distributed computing

Ray

Spark

Dask

Git

CI/CD

Automated testing

Profiling

Linux

Data structures

Algorithms

Cloud platforms

Education

BS/MS/PhD in CS/Math or related STEM

Tools

Git

CI/CD pipelines

Profiling tools

Linux environments

AWS/GCP

Ray

Spark

Dask

Job description

Quantitative Python Developer - Systematic Trading - J13085

Our client is a premier global quantitative investment manager building technology- driven research platforms. In this role, you will design and scale high-performance research infrastructure, backtesting engines, and distributed data pipelines. Prior financial experience is not required.

Key Responsibilities

• Build and scale core backtesting engines, simulation tools, and portfolio construction frameworks.
• Design clean, high-performance Python APIs and libraries to integrate research workflows into production.
• Develop scalable processing pipelines and distributed computing solutions for massive financial datasets.
• Maintain software engineering best practices, including CI/CD, automated testing, and performance profiling.
• Partner directly with Quantitative Researchers and Data Engineers to translate research needs into production software.

Requirements & Qualifications

• Degree (BS, MS, or PhD) in Computer Science, Mathematics, or a related STEM discipline.
• Advanced proficiency in Python and its scientific stack (NumPy, Pandas, Polars) with a focus on performance optimization.
• Strong command of software design, data structures, algorithms, and Linux environments.
• Proficiency with Git, CI/CD pipelines, automated testing, and profiling tools.
• Open to tech, startup, or data engineering backgrounds—no prior finance experience required.

Preferred Qualifications

• Experience with distributed computing frameworks (Ray, Spark, Dask) or cloud platforms (AWS/GCP).
• Exposure to high-performance languages like C++ or Rust.
• Open-source contributions to scientific or numerical Python libraries.