# Quant Research Engineer

**Company**: Quant Strategies
**Location**: Hong Kong
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Finance

**Apply**: https://mlp.eightfold.ai/careers/job/755957640548?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_75964830-6a8

## Description

We are seeking a Quant Research Engineer to join our team. As a Quant Research Engineer, you will play a crucial role in designing, building, and maintaining our core quant pipelines, data infrastructure, and research and production compute environments.

**Key Responsibilities**

- Design, build, and maintain the firm's core quant pipelines, data infrastructure, and research and production compute environments.

- Ensure the reliability, scalability, and performance of critical systems central to our research and trading activities.

- Drive the architectural vision for our next-generation data and compute platform , including how AI-native capabilities (LLM services, agentic workflows, retrieval infrastructure) are embedded into the research stack.

- Partner directly with Quantitative Researchers and other development teams to understand their requirements and integrate new components into the core infrastructure.

- Act as a central point of expertise, facilitating the seamless flow of data and computation across teams and systems.

- Identify where AI can accelerate the research process , from literature ingestion and data exploration to signal prototyping , and build the tooling that makes it routine.

- Establish and enforce rigorous standards for system design, code quality, testing, and deployment.

- Own the deployment, monitoring, and operational health of production and research systems.

- Implement robust observability, logging, and alerting frameworks; apply AI-assisted techniques (automated log analysis, anomaly detection, intelligent incident triage) to raise the bar on reliability.

- Drive infrastructure-as-code practices and automate operational workflows, leveraging AI coding agents and LLM tooling where they demonstrably improve velocity and quality.

**Qualifications & Experience**

- 3–5 years of professional experience in a quantitative development role, focused on building and maintaining quantitative research and production pipelines.

- Proven, end-to-end ownership of a significant piece of trading, research, high-performance, or AI infrastructure.

- Deep expertise in modern C++ and Python in a high-performance computing context.

- Demonstrable experience with large-scale data infrastructure (e.g., real-time/streaming and historical tick data).

- Strong background in cloud computing (AWS, GCP, or Azure) and parallel computing paradigms.

**Hard Skills & Technical Knowledge**

- Broad knowledge of the technology landscape and the judgment to select the right tool for the problem (e.g., KDB+, Apache Spark, Dask, Redis).

- Practical experience applying LLMs and agentic workflows to real engineering or research problems , LLM APIs, agent frameworks, retrieval-augmented generation, and structured output pipelines , with sound judgment about where AI adds value and where determinism must be preserved.

- Proficiency with different database designs , SQL, NoSQL, and distributed file systems.

- Experience with containerization and orchestration technologies (Docker, Kubernetes).

- Strong experience with DevOps practices: infrastructure-as-code (Terraform, CloudFormation), CI/CD pipelines (GitHub Actions, GitLab CI), and system observability , including familiarity with AI-assisted operations tooling.

**Soft Skills**

- Exceptional Logical & Reflective Thinking: Ability to deconstruct complex problems and design elegant, effective solutions.

- Proactive Collaboration: A team player who thrives in a collaborative environment and builds strong partnerships.

- High Integrity: Takes initiative and ownership of projects, upholding rigorous ethical standards in handling sensitive data and models.

- Growth Mindset: Innate curiosity and commitment to continuous improvement , including genuine enthusiasm for the rapidly evolving AI landscape and a track record of adopting new tools ahead of the curve.

- Superb Communication: Can articulate complex technical concepts to both technical and non-technical stakeholders.

## Skills

### Required
- C++
- Python
- large-scale data infrastructure
- cloud computing
- parallel computing
- KDB+
- Apache Spark
- Dask
- Redis
- LLMs
- agentic workflows
- retrieval-augmented generation
- structured output pipelines
- SQL
- NoSQL
- distributed file systems
- containerization
- orchestration technologies
- DevOps practices
- infrastructure-as-code
- CI/CD pipelines
- system observability

### Nice to have
- PhD-level training in Computer Science, Engineering, Physics, Mathematics, or Statistics
- Gold medal in a national or international olympiad
- Prior experience at a top-tier quantitative trading firm or a leading AI/technology company
- Demonstrated passion for applying AI

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Source: [Apply at mlp.eightfold.ai](https://mlp.eightfold.ai/careers/job/755957640548?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)