China · Global Markets

Systematic Alpha.
Scaled by Technology.

A quantitative investment platform engineering persistent edge through advanced data architecture, machine learning research, and disciplined implementation.

Physicists · Mathematicians · Engineers · Data Scientists · 100+ Quant Professionals
Machine Learning• Multi-Factor Research• Microstructure Execution• Signal Extraction• Systematic Macro• Portfolio Construction• Risk Management• Low Latency Systems• Machine Learning• Multi-Factor Research• Microstructure Execution• Signal Extraction• Systematic Macro• Portfolio Construction• Risk Management• Low Latency Systems•
How We Generate Alpha
Research

Cross-disciplinary teams generating systematic signal

Our research spans physicists, mathematicians, and data scientists working collaboratively across factor discovery, model validation, and continuous out-of-sample evaluation. Intellectual curiosity and empirical rigor drive every hypothesis.

Technology

Proprietary infrastructure built for institutional scale

We operate one of Asia's most sophisticated quantitative computing environments — over 110,000 CPU cores, 11,000+ GPUs, and 10PB+ of research-grade data storage. Every component of our stack is purpose-built for speed and reliability.

Data

A continuous appetite for structural informational edge

Our data platform processes structured and unstructured signals from tick-level to multi-year horizons. We evaluate alternative data sources with the same rigor applied to our models — enrichment is continuous, not episodic.

Execution

Microstructure-aware, multi-broker implementation

Strategy is only as good as its execution. Our trading infrastructure governs pre-trade, intra-day, and post-trade risk controls across a multi-broker architecture — minimising slippage and capturing alpha as modelled.

Firm

Research-driven architecture designed for institutional capital.

Meridian & Saturn Capital is a systematic investment platform focused on quantitative strategies, portfolio construction, and execution across China and global markets. Founded by a team bridging institutional finance and computational science, we operate under the rigorous standards expected of a MAS-licensed capital markets firm.

With headquarters in Singapore and a dedicated research footprint in China, our infrastructure supports over 100 quantitative professionals — enabling research at the frontier of machine learning and delivering consistent, uncorrelated returns for our institutional partners.

Investment Philosophy

Alpha generated through empirical rigor and computational scale.

We view markets as complex, evolving systems. Our philosophy is rooted in the conviction that persistent inefficiencies can only be captured through continuous technological innovation and the systematic elimination of behavioral bias.

We deploy a scalable infrastructure integrating massive data ingestion, machine learning-driven signal extraction, and microstructure-aware execution. Every model is subjected to relentless out-of-sample validation before encountering live capital. Risk is not an afterthought — it is embedded at the core of our portfolio construction.

Enterprise & ESG

Systematic governance and sustainable infrastructure.

As a technology-driven firm, our commitment to ESG principles is integrated into how we operate our enterprise and manage risk. Operating under a stringent regulatory framework, we maintain multi-layered compliance controls, robust data privacy protocols, and uncompromising operational transparency for our institutional partners.

We continuously optimise our high-performance computing clusters for energy efficiency — acknowledging our footprint while pursuing cutting-edge research. We foster an intellectual culture that champions diversity of thought across global research and engineering teams.

Executive Leadership

Kate Zhang

Chief Executive Officer

Kate leverages an extensive background in asset management and enterprise building to direct the firm's strategic trajectory. She oversees corporate governance, global capital partnerships, and the alignment of our computational infrastructure with institutional mandates.

Jude Zhu

Chief Investment Officer

Jude brings over 15 years of expertise in quantitative research and systematic trading. He directs alpha research, multi-factor portfolio construction, and risk models — specialising in machine learning-driven signal extraction and high-frequency implementation.

Tony Zhu

Chief Technology Officer

A former senior academic in information science, Tony architects the firm's core computational capabilities — leading the engineering of our proprietary research grid, low-latency deployment environments, and massive-scale data pipelines.