Quant Research Engineer

Millennium • Full Time • Hong Kong, HK • 4d ago

Please direct all resume submissions to QuantTalentASIA@mlp.com and reference REQ-30162 as the subject.

Job Specification: Quant Research Engineer

Preferred Candidate Profile

Top-tier academic background from a globally top-20 university (e.g., MIT, Harvard, Princeton, Stanford, Caltech)
PhD-level training in Computer Science, Engineering, Physics, Mathematics, or Statistics preferred
Gold medal in a national or international olympiad (IMO, CMO, IOI, NOI, IPhO, CPhO) strongly preferred
Prior experience at a top-tier quantitative trading firm or a leading AI/technology company preferred
Demonstrated passion for applying AI — candidates who have built LLM-powered tools into their own research or engineering workflow stand out

Key Responsibilities

Core Infrastructure Ownership

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.

Collaboration & Integration

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.

DevOps & AI-Augmented Operations

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. Alternatively, significant engineering experience in a fast-paced startup — or strong hands-on AI/LLM engineering experience (building production LLM applications, agentic systems, or AI-powered developer

tooling) — with demonstrated ownership of complex infrastructure will be considered in lieu of direct quant experience.

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.

Similar Jobs

Senior ML Engineer

Manulife • Full Time • Hong Kong, HK • 1d ago

Engineering Data Analyst

We are seeking a highly skilled Senior Machine Learning Engineer to join our Health AI Squad at Manulife Asia, based in Singapore / Hong Kong. This role will focus on building scalable, production-grade AI/ML and GenAI c...

1d ago

Apply

Data Engineer

Pattern • Full Time • Hong Kong, HK • 1d ago

Engineering Data Analyst Full Time

Are you obsessed with data, partner success, taking action, and changing the game? If you have a whole lot of hustle and a touch of nerd, come work with Pattern and use your skills to push one of the fastest-growing comp...

1d ago

Apply

[LPS] Senior Data Engineer

Lenovo • Full Time • Hong Kong, HK • 1d ago

Engineering Data Analyst

We are Lenovo. We do what we say. We own what we do. We WOW our customers. Lenovo is a US$83 billion revenue global technology powerhouse, ranked #153 in the Fortune Global 500, and serving millions of customers every da...

1d ago

Apply

Senior Data Engineer

Manulife • Full Time • Hong Kong, HK • 2d ago

Engineering Data Analyst Full Time

Role Overview The Senior Data Engineer is responsible for bridging business objectives and technical execution, leading the delivery of data engineering initiatives spanning data lakes, data platform modernization, and r...

2d ago

Apply

Machine Learning Engineer

Tower Research Capital • Full Time • Hong Kong, HK • 3d ago

Engineering Data Analyst

Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and...

3d ago

Apply

Senior / Staff Data Engineer (BI) – CEG Team

Agoda • Full Time • Hong Kong, HK • 3d ago

Engineering Data Analyst

About Agoda At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore...

3d ago

Apply

Quantitative Researcher | Trading team

Jump Trading • Full Time • Hong Kong, HK • 2m ago

Engineering Data Analyst Investment Full Time

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to g...

2m ago

Apply

Junior Product Analyst

Engineering • Full Time • Hong Kong, HK • 3m ago

Engineering Product Development Data Analyst Full Time

DASH is a Hong Kong-based company that aims to revolutionise digital and mobile interactions between consumers and merchants in the physical world. It focuses on the mobility and payment sectors. DASH is transforming Hon...

3m ago

Apply

Quantitative Analyst (Options)

Crypto.com • Full Time • Hong Kong, HK • 4m ago

Engineering Data Analyst Risk Management Full Time

The Team We are seeking a Quantitative Analyst to join our Trading Team. The team is responsible for market making and proprietary trading across options, structured products, and delta one products. The Role Front-offic...

4m ago

Apply

Head of Data Strategy

Engineering • Full Time • Hong Kong, HK • 4m ago

Engineering Data Analyst Full Time Management

At Coface we make trade happen everyday Our 5,200 experts representing 80+ nationalities in 58 countries are united by a shared purpose: helping companies navigate through uncertainty by empowering them to make the right...

4m ago

Apply