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Quinn Liu

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A few mountains climbed, some bonds managed, a few systems built, some history of empires read.

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Background

I manage bond portfolios in Hong Kong — rates, credit, FX across G10, EM, and Asia. I also built the research infrastructure beneath every position: multi-agent pipelines, sovereign spread monitors, relative-value briefs before the first coffee. Not a side project. The actual workflow.

I've evaluated markets from the other side of the table too — assessing fixed income and derivatives portfolios held by international organizations, advising on how bond auctions distort the curve: futures positioning, cheapest-to-deliver mechanics, primary dealer behavior around issuance windows. That vantage point changes how you manage a portfolio.

It started with the CFETS RMB quoting engine in 2019. Building the system forced a precision about forward microstructure that trading the same instruments couldn't. From that FX engine to today's multi-agent research systems and LLM tooling — not demos. A daily workflow.

Graduate mathematics, Peking University. I read geopolitical history — empires and monetary credibility is sometimes a better macro model than anything on a terminal. Wittgenstein was right: the limits of your language are the limits of your world. In finance, the model you can build is the limit of the risk you can see.

I ride bikes up mountains. The suffering-to-reward ratio is not so different from fixed income in a rate cycle you've misjudged.

<ABOUT>

Competencies

FICC & Macro

  • Rates, credit, FX — G10, EM, Asia
  • Buy-side portfolio construction, risk decomposition, relative value
  • Policy toolkit design, sovereign debt market operations
  • Cross-asset macro frameworks, central bank policy analysis
  • Weather derivatives and alternative asset pricing
  • FX trading technology: CFETS protocol integration, spot/forward pricing engines, low-latency system design

Agentic Systems & AI Infrastructure

  • Multi-agent orchestration, LLM reasoning, MCP servers
  • RAG pipelines, real-time data ingestion, OSINT integration
  • Classical ML: gradient boosting, factor models, time-series forecasting
  • Neural networks applied to financial signal extraction
  • Production-grade agentic infrastructure

Quant & Engineering

  • Python, asyncio, data engineering, Bloomberg API
  • Stochastic modeling, statistical learning, dimensionality reduction
  • Systematic strategy prototyping and backtesting
  • Full-stack: Next.js, React, TypeScript

Research & Analysis

  • Real-time macro event analysis and synthesis
  • Governance risk assessment, institutional advisory
  • Credit risk monitoring, issuer surveillance
  • Cross-asset relative value frameworks

Languages & Communication

  • Bilingual English / Chinese — native level in both
  • Institutional communication, stakeholder management
  • Cross-border coordination across APAC and global markets

Background

  • Graduate mathematics, Peking University — stochastic calculus, optimization
  • Geopolitical history, rise and fall of empires — how history shapes today's markets
  • Wittgenstein — the limits of language shape the limits of cognition, a lesson reinforced by quant modeling and LLMs
<COMPETENCIES>

Projects

CFETS FX Engine

[2019 · Archived]

RMB spot and forward auto-quoting system for CFETS protocol. In production 2019–2023.

PythonC++FXCFETS

MacroRAG

[Production · Live]

G10 central bank intelligence monitoring. 20+ RSS feeds, LLM-powered risk scoring, issuer auto-alerting. Daily briefings before 06:00 UTC. In live PM workflow since 2024.

PythonLLMRAGAsync

GlobalMacroDesk

[Active Development]

Multi-agent macro research system. Bloomberg terminal integration, 12 concurrent agents, MCP server coordination.

PythonMulti-AgentMCPBloomberg

Market Intelligence Pipeline

[Production · Live]

Real-time news monitoring and OSINT integration for FICC trading desks.

RSSNLPAutomationPython

Monetary Policy Transmission

[Research]

Replication of 'The Ins & Outs of Chinese Monetary Policy Transmission'. Empirical analysis of PBOC policy channels.

PythonJupyterMacroRates

CN Local Gov Bond Spreads

[Research]

Factor decomposition of Chinese local government bond spread dynamics across credit, liquidity, and policy dimensions.

PythonJupyterCreditChina Rates
<PROJECTS>

Experience

2023 – Present

Investment Manager

Large-scale G10/EM/Asia fixed income portfolios — sovereign/SSA, MBS, IG credit. Coordinates investment framework across 30+ overseas entities.

2019 – 2023

Rates Trader

RMB and USD rates book — IRS, futures, options, FX swaps, CDS. #1 P&L contributor two consecutive years. Built CFETS RMB auto-quoting engine; FX quoting ranked #1 globally by peers (2021). Led macro research group.

2017 – 2019

Assistant Portfolio Manager

Liquidity portfolio management. Designed Asia's first SOFR-linked note — full pricing framework, hedge design, investor roadshow. Built Nelson-Siegel yield curve toolkit.

Concurrent

International Financial Institution · Fixed Income Advisor

Appointed expert advisor on a sovereign audit engagement spanning New York, Copenhagen, and Beijing. Evaluated large-scale fixed income and derivatives portfolios. Built quantitative audit methodology using ML and local volatility surface models.

Concurrent

Central Bank · Bond Market Advisor

Advised on government bond issuance strategy and yield curve management — futures positioning, cheapest-to-deliver dynamics, primary dealer behavior around auction windows, on-the-run/off-the-run transition timing.

Education

Graduate Mathematics · Peking University

Financial mathematics, stochastic calculus, optimization. Thesis: RNN + time-series models for 50ETF options volatility forecasting (Distinction). Exchange: University of Hong Kong.

<EXPERIENCE>

Writing

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