Associate, Quant Developer, Equity Derivatives

CLSA; Hong Kong; On-site; HKD 900,000 - 1,500,000; Full time

Job summary

CLSA in Hong Kong is seeking an experienced Quant Developer to join our Equity Derivatives desk. You will design, develop, and maintain front-office applications and services supporting trading, execution, pricing, and risk management.

You will work closely with traders, structurers, and quantitative teams to deliver production‑ready solutions. Expect to build high‑performance Python and TypeScript tools, integrate with FIX, Redis, WebSocket, and various databases, and improve system

Qualifications

• Master’s degree or above in a quantitative field such as Computer Science, Mathematics, Physics, Engineering, Statistics or Financial Engineering.
• 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.

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 with traders, structurers, quantitative analysts, and technology teams to 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 connectors.
• Work with middleware and messaging technologies, including FIX, Redis, WebSocket, message queues, and databases.
• Improve performance, reliability, observability, and resilience of existing trading and risk-management systems.
• Implement robust software engineering practices: automated testing, code review, CI/CD, version control, release management, production monitoring.
• Investigate and resolve production incidents, trading-support issues, data-quality problems, and system-performance bottlenecks.
• Contribute to technical architecture and long-term evolution of the desk technology platform.

Skills

Python

TypeScript

Distributed systems

Problem solving

Linux

Education

Master's degree in a quantitative field

Tools

FIX

Redis

WebSocket

CI/CD

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.