Associate, Quant Developer, Equity Derivatives

CLSA; Hong Kong; On-site; HKD 1,100,000 - 1,900,000; Full time

Benefits offered by this job

This is a front desk position.

Fast and clear career progression path

Direct partnership with front-office

Job summary

CLSA in Hong Kong seeks an experienced Quant Developer to join the Equity Derivatives desk and build high-performance trading, pricing, and risk systems. You will collaborate with traders, structurers, and quantitative teams to deliver production-ready solutions across front-office applications.

The role requires a Master’s degree or higher in a quantitative field and 4+ years of relevant experience, with strong Python and TypeScript skills; knowledge of Java/C++/C# is a plus.

Qualifications

• Master’s degree or above in a quantitative field.
• 4+ years of experience developing trading, execution, or risk-management systems.
• Strong Python and TypeScript development skills; knowledge of Java/C++/C# is a plus.
• Experience building high-performance, real-time or distributed systems.
• Solid software engineering fundamentals: testing, CI/CD, Git, Linux, debugging, and performance optimization.
• Familiarity with FIX, Redis, WebSocket, message queues, and databases.
• Strong problem-solving and communication skills.

Responsibilities

• Design, develop, and maintain front-office applications and services supporting the Equity Derivatives business.
• Build high-performance systems for trading, execution, market-data processing, pricing analytics, hedging, and risk management.
• Partner closely with traders, structurers, quantitative analysts, and technology teams to understand business requirements and deliver production-ready solutions.
• Develop scalable Python- and TypeScript-based applications, including backend services, APIs, workflow tools, and user-facing interfaces.
• Integrate applications with trading platforms, market-data services, risk systems, and external/internal connectivity.
• Work with middleware and messaging technologies, including FIX, Redis, WebSocket, message queues, and databases.
• Improve the performance, reliability, observability, and resilience of existing trading and risk-management systems.
• Implement robust software engineering practices, including automated testing, code review, CI/CD, version control, release management, and production monitoring.
• Investigate and resolve production incidents, trading-support issues, data-quality problems, and system-performance bottlenecks.
• Contribute to technical architecture, development standards, and the long-term evolution of the desk technology platform.

Skills

Strong problem-solving

Communication skills

Education

Master’s degree or above in a quantitative field

Tools

Python

TypeScript

Java

C++

C#

FIX

Redis

WebSocket

Message queues

Databases

Job description

Position Description

We are a leading and fast-growing Chinese investment bank seeking an experienced Quant Developer to join our Equity Derivatives desk.

You will work closely with traders, structurers, and quantitative teams to develop and support high-performance systems for trading, execution, pricing, and risk management.

Responsibilities

• Design, develop, and maintain front-office applications and services supporting the Equity Derivatives business.
• Build high-performance systems for trading, execution, market-data processing, pricing analytics, hedging, and risk management.
• Partner closely with traders, structurers, quantitative analysts, and technology teams to understand business requirements and deliver production-ready solutions.
• Develop scalable Python- and TypeScript-based applications, including backend services, APIs, workflow tools, and user-facing interfaces.
• Integrate applications with trading platforms, market-data services, risk systems, and external/internal connectivity.
• Work with middleware and messaging technologies, including FIX, Redis, WebSocket, message queues, and databases.
• Improve the performance, reliability, observability, and resilience of existing trading and risk-management systems.
• Implement robust software engineering practices, including automated testing, code review, CI/CD, version control, release management, and production monitoring.
• Investigate and resolve production incidents, trading-support issues, data-quality problems, and system-performance bottlenecks.
• Contribute to technical architecture, development standards, and the long-term evolution of the desk technology platform.

Requirements

• Master’s degree or above in Computer Science, Mathematics, Physics, Engineering, Statistics, Financial Engineering, or a related quantitative field.
• 4+ years of experience developing trading, execution, or risk-management systems.
• Strong Python and TypeScript development skills; experience with Java, C++, or C# is a plus.
• Experience building high-performance, real-time, or distributed systems.
• Solid software engineering fundamentals: design, testing, CI/CD, Git, Linux, debugging, and performance optimization.
• Familiarity with FIX, Redis, WebSocket, message queues, and databases.
• Strong problem-solving and communication skills.

What We Offer

• This is a front desk position.
• A fast and clear career progression path.
• Direct partnership with front-office stakeholders.
• Opportunity to work on impactful Equity Derivatives trading and risk systems in a leading investment bank.