The Company
This elite quantitative trading firm specializes in deploying sophisticated algorithmic strategies across global equity and futures markets. Known for a high-performance culture that merges deep scientific research with world-class engineering, they manage a massive-scale production environment where precision and reliability are the primary benchmarks for success. The firm prioritizes technical excellence and constant iteration, providing a "zero-legacy" playground for engineers who want to see their work directly impact market liquidity and returns.

The role is open to anyone currently based in, or happy to relocate to Hong Kong, Singapore, Shanghai, Beijing, or New York.
 

The Role
As a Quantitative Product Development Engineer, you will own the reliability and performance of a live trading environment. You will act as the critical link between Quantitative Researchers and the production markets, facilitating the seamless deployment and optimization of complex trading strategies. This is a high-stakes engineering role where you will manage the full product lifecycle—from system architecture and performance tuning across the hardware stack to real-time incident response during active trading hours.
 

Requirements

• Bachelor’s degree or higher in Computer Science or a related technical field.

• Minimum of 2 years of professional experience in high-complexity, mission-critical environments.

• Deep proficiency in the Linux operating system and modern engineering practices (Git, CI/CD, Code Review).

• Strong technical proficiency in C++ with a scripting language, or Python 3 combined with a strongly typed language (e.g., Java, Go, Rust).

• Fluency in both English and Chinese to collaborate effectively within a global, multilingual team.

• A genuine interest in quantitative trading and the technical methods used to enhance service reliability.
   

Why Join?

• Direct Strategy Impact: Work side-by-side with researchers to deploy strategies that generate substantial global returns.

• Technical Sovereignty: Optimize trading systems across the entire stack—computation, storage, networking, and hardware.

• Elite Peer Group: Join a team that values top-tier competitive experience (e.g., ACM/ICPC or NOI/NOIP winners).

• Engineering Excellence: Build and maintain high-performance developer tools and systems where technical quality is never compromised.

The Company
This technology-driven trading firm, with a major presence in Singapore, New York, and Hong Kong, manages close to USD 3 billion in assets. Founded by an elite group of graduates from Stanford, CMU, and Tsinghua, the organization merges advanced mathematics with cutting-edge AI to drive automated investment strategies. They operate a "zero-legacy" technical environment, focusing on continuous optimization of machine learning algorithms to deliver sustainable returns in global equity markets.
 

The Role
As a Quantitative Researcher, you will lead the discovery and modeling of short-horizon statistical signals across massive equity universes. You will leverage high-frequency tick-level and order book data to identify transient inefficiencies and arbitrage opportunities. This is a high-impact role within a dedicated Alpha team, focusing on the end-to-end research lifecycle from signal discovery to production deployment.
 

Requirements

• Open to candidates at both junior and senior levels with experience in alpha research or quantitative signal development., specifically within intraday or short-horizon equity strategies.

• Deep expertise in market microstructure, order flow dynamics, and execution-related features.

• Strong programming skills in Python or C++, with fluency in handling large-scale, high-frequency datasets.

• Proven experience in cross-sectional modeling and statistical arbitrage frameworks across global equities.

• Advanced degree (MS/PhD) in a quantitative field such as Mathematics, Physics, Statistics, or Computer Science.

• Knowledge of execution-aware signal design, including slippage modeling and alpha decay analysis.

• Track record of developing successful signal ideas that have contributed to live PnL.
   

Why Join?

• Elite Research Environment: Work alongside top-tier talent from the world's leading academic and technical institutions.

• Cutting-Edge Technology: Access a modern, cloud-native infrastructure optimized for high-frequency AI research without technical debt.

• Pure Research Focus: Focus on predictive modeling and alpha discovery while collaborating with specialized engineering and trading teams for deployment.

• Global Market Exposure: Develop and deploy strategies across diverse global equity markets, including the US, APAC, and EMEA.

• Flat & Agile Culture: Benefit from a collaborative, meritocratic environment that values rapid execution and technical excellence.

• Significant Growth: Join a rapidly expanding firm that is scaling its footprint and assets under management globally.
   

The Company
This leading global strategic advisory firm is redefining the consulting landscape by integrating high-level human expertise with advanced artificial intelligence. Operating at the intersection of complex data and specialized insights, the organization has launched a dedicated AI department to build an enterprise-scale "Virtual AI Lab".

The firm is currently scaling its technical capacity to process over 100,000 documents per day using state-of-the-art LLMs, creating a "zero-legacy" environment where AI is the core driver of operational efficiency and client value.
 

The Role
As a Senior AI Infrastructure Engineer, you will be the primary architect for the Azure-based platform powering the firm’s AI and data-pipeline workloads. You will lead the design and implementation of modular, IaC-first infrastructure, setting the global standard for Terraform, GitOps, and observability. This is a high-impact position where you will partner directly with AI Systems Architects to build the foundation for next-generation document processing and LLM integration.
 

Requirements

• 8+ years of experience in infrastructure, platform, or distributed-systems engineering.

• Hands-on mastery of Microsoft Azure (AKS, Entra ID, Key Vault, and Azure Monitor).

• Deep expertise in Terraform or OpenTofu with a focus on modular design and GitOps-driven workflows using ArgoCD or Flux.

• Proven experience deploying AI/ML pipelines utilizing frameworks like Haystack, LangChain, or LangGraph.

• Strong proficiency in Python or Go, particularly for optimizing GPU workloads and AI compute.

• Technical understanding of OpenTelemetry for defining SLOs and monitoring AI-cost telemetry.

• Experience ensuring the secure handling of sensitive data through encryption, least-privilege access, and audit logging.
   

Why Join?

• Scale and Sophistication: Build a platform capable of processing massive document volumes using the latest models from OpenAI and Anthropic.

• Greenfield Engineering: Lead an IaC-first build, enforcing policy-as-code and modern observability practices from the ground up.

• High-Visibility Impact: Bridge the gap between experimental AI prototypes and enterprise-scale production systems.

• Elite Technical Squad: Collaborate with a distributed, expert team focused on the intersection of legal, regulatory, and technical data.

The Company
This Hong Kong-based AI powerhouse has transitioned from a specialized IDP provider into a dominant force in enterprise automation. Processing millions of documents annually for global firms, they are now leveraging their data advantage to launch a "zero-legacy" AI Agent Studio. This function is designed to move beyond simple automation into autonomous agentic systems that redefine corporate operations.
 

The Role
As a Product Manager, you will lead the evolution of this new vertical from ideation to global delivery. You will act as the strategic bridge between enterprise C-suite clients and an elite engineering squad, translating complex business friction into seamless AI roadmaps. This is a high-visibility leadership opportunity to define how autonomous agents function at scale within the built environment and professional services.
 

Requirements

• Proven track record in Product Management within an AI-first or high-growth SaaS environment.

• Deep technical literacy in LLM orchestration, RAG, and Agentic Workflows.

• Hands-on experience with modern prototyping and development tools like Cursor or Claude Code.

• Experience managing complex stakeholder relationships, particularly at the executive level.

• Strategic mindset with the ability to validate product-market fit rapidly through iterative prototyping.
   

Why Join?

• Scale-Up Velocity: Join a profitable, HK-founded firm during its most aggressive global expansion phase.

• Cutting-Edge Stack: Work directly with the latest in autonomous agent frameworks and generative AI.

• High Visibility: Lead a product vertical that is the cornerstone of the company’s 2026 strategy.