Python Developer

Tribus; Hong Kong; Presencial; HKD 900 000 - 1 500 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Relocation assistance

Resumo da oferta

Tribus is partnering with a leading global hedge fund to hire a Python / Quant Infrastructure Engineer for its Hong Kong office. You will join a highly technical quantitative trading team responsible for developing the infrastructure, data platforms and applications supporting global trading strategies.

This hands-on software engineering role combines Python development, infrastructure work and trading-facing tools, with ownership across platform architecture, data systems and internal

Qualificações

• 3+ years of software engineering experience in financial services or data-intensive environments.
• Hands-on with Kubernetes, Docker, Airflow and CI/CD.
• Experience building scalable services and data pipelines.
• Frontend exposure with React or Angular is a plus.
• Knowledge of Java or C# is advantageous.

Responsabilidades

• Design and develop scalable services and data pipelines.
• Migrate Airflow workflows to Kubernetes-based infrastructure.
• Build Python applications, CI/CD pipelines, and tests.
• Develop trading-facing applications and backtesting tooling.
• Support AI-powered trading applications and dashboards.

Conhecimentos

Python programming

Distributed systems

Software architecture

Ferramentas

Kubernetes

Docker

Airflow

CI/CD

React

Angular

Java

C#

Descrição da oferta de emprego

Location: Hong Kong

Industry: Quantitative Trading / Hedge Funds

Employment: Permanent

Relocation: International relocation supported

The Opportunity

Tribus is partnering with a leading global hedge fund to hire a Python / Quant Infrastructure Engineer for its Hong Kong office.

This is an opportunity to join a highly technical quantitative trading team responsible for developing the infrastructure, data platforms and applications supporting global trading strategies.

The role combines Python software engineering, infrastructure development and trading-facing applications, working closely with quantitative researchers and portfolio managers.

Unlike a traditional infrastructure or DevOps position, this is a hands-on software engineering role with significant ownership across platform architecture, data systems and internal trading tools.

Key Responsibilities

• Design and develop scalable services, including migrating existing Airflow workflows to Kubernetes-based infrastructure.
• Build and maintain Python applications, CI/CD pipelines and automated testing frameworks.
• Develop and optimise large-scale data pipelines, including data lifecycle management, monitoring and quality controls.
• Build backtesting platforms, dashboards and visualisation tools used by quantitative researchers and portfolio managers.
• Develop trading-facing applications supporting options analytics, strategy analysis and live trading workflows.
• Contribute to the development of AI-powered trading applications.
• Manage compute resources, production monitoring and infrastructure performance.

Technical Requirements

• 3+ years of software engineering experience, ideally within financial services, quantitative trading or another data-intensive environment.
• Hands-on experience with Kubernetes, Docker, Airflow and CI/CD.
• Experience developing scalable services, data pipelines and production applications.
• Exposure to front-end development, GUIs or internal tooling using React, Angular or similar frameworks.
• Familiarity with Java or C# would be advantageous.
• Strong problem-solving skills and the ability to take ownership of technical projects.

Highly Desirable

• Experience within hedge funds, proprietary trading, investment banking or quantitative finance.
• Understanding of financial markets, particularly options, derivatives or systematic trading.
• Experience building backtesting systems, trading applications or quantitative research tools.
• Exposure to AI/ML frameworks and data-driven applications.

Why Consider This Opportunity?

• Direct trading exposure: Work closely with portfolio managers and quantitative researchers, developing systems that directly support investment strategies.
• Engineering ownership: Take responsibility for designing, building and improving business-critical platforms and applications.
• Technical variety: A combination of Python development, distributed infrastructure, data engineering and front-end tooling.
• Global environment: Join an established international hedge fund with sophisticated technology and quantitative trading operations.
• Career development: Build deeper expertise in quantitative finance while working on technically challenging projects.
• Hong Kong opportunity: Join a major global financial centre, with relocation support available for international candidates.

Interested?

If you're a strong Python software engineer with experience across infrastructure, data platforms or trading technology, we'd be keen to hear from you.

You don't necessarily need to be working within a hedge fund today, but you should have a strong engineering background and an interest in building technology that supports quantitative trading.

For a confidential discussion, please get in touch with Ollie Chapman at Tribus or apply directly.

All enquiries will be treated confidentially.