Global macro · Fixed income · Data

Clay Liang 梁珂玮

I use data and models to study macroeconomic fundamentals, interest rates and risk.

I am a Management & Data Science student at TUM with experience at Airbus, Lenovo and Tsinghua University. My research interests connect growth, inflation and monetary policy with fixed-income markets. I enjoy turning an economic thesis into explicit assumptions, testable scenarios and a clearer view of risk.

Email GitHub LinkedIn CV
What I care about: not analysis for its own sake, but reliable evidence that helps a team act. I try to make assumptions visible, communicate simply and take responsibility for the quality of the final output.

Selected work

View all projects →
Interactive research tool · Global macro & fixed income

Global Macro & Rates Lab

Connect a macro thesis to a yield-curve scenario. Explore five markets with official macro data, US and euro-area model zero curves, and editable scenarios. Measure how curve shocks change a bond's value, duration and DV01.

Macro fundamentalsYield curvesKey-rate risk
Open the research lab →
Financial analytics

Financial Data & Scenario Tools

A browser-based toolkit for live market data, DCF valuation, FX, inflation, investment returns and scenario testing with transparent assumptions.

DCFMarket dataJavaScript
Valuation case study

ASML Valuation Tracker

A live comparison between ASML's market price and my own DCF range, built to understand how assumptions, risk and expectations move valuation.

Equity researchScenario analysis
Decision systems

From operational data to decisions

Lessons from working with production data, cross-functional stakeholders and the gap between a technically correct output and one people can use.

OperationsStakeholders
Applied machine learning

Video Annotation Tool

A lightweight research workflow for timestamped video labels and CSV export, designed around what users actually needed rather than feature complexity.

PythonWorkflow design

Experience

Airbus Tianjin Final Assembly
Jun 2025 - Sep 2025

Data Analytics Intern

Analysed operational data with SQL, Python, Databricks and Apps Script; identified bottlenecks and performance patterns; and turned findings into dashboards, visual materials and concise updates for cross-functional teams.

Lenovo
Feb 2025 - Jun 2025

Data Science Intern / Intern Project Lead

Built Tableau and Power BI reporting for digital-transformation and supply-chain work, standardised recurring analysis and coordinated a small intern workstream across technical and business deliverables.

Tsinghua University
Jun 2024 - Present

AI Research Assistant

Supported audio deep-learning research through dataset preparation, model evaluation, controlled experiments and backend debugging, with an emphasis on traceable results and clear documentation.

Where I want to apply this

Global macro researchConnecting growth, inflation and monetary policy across economies to a clear, evidence-based market thesis.
Fixed income & quantitative riskUnderstanding yield curves, duration and key-rate exposure through transparent models and scenarios.
Portfolio analyticsConnecting market information, valuation and risk to disciplined investment decisions.
Technology consultingHelping organisations turn data infrastructure and analytical tools into better operating decisions.

Education

BSc Management & Data Science
Technical University of Munich, School of Management
2026 - Present
Previous studies: Artificial Intelligence & Data Science
Leiden University
2025 - 2026

Tools

Analytics
Excel, Power BI, Tableau, Pandas, NumPy, data visualisation and scenario analysis
Programming
Python, SQL, JavaScript, C++ and Java
Data
Databricks, Spark, Git, Docker and Linux
Machine learning
PyTorch, TensorFlow and Scikit-learn
Languages
Mandarin Chinese (native), English (fluent), German (basic)