Hongrui HU
Singapore
Summary
Analytical graduate with a background in Financial Mathematics and a Master’s in Biomedical Data Science. Experienced in quantitative trading research and equity analysis, utilizing data-driven methods to assess market dynamics and investment opportunities. Skilled in Python and R, specializing in financial data analysis and model development to convert complex datasets into actionable insights.
Overview
3
3
years of professional experience
Work History
Medical AI R&D Intern
Nightingale, Inc.
Singapore
09.2025 - 01.2026
- Developed medical AI SaaS product by designing and optimizing end-to-end AI pipeline, integrating real-time ASR, automated summarization, and structured data consolidation.
- Tuned models and analyzed errors on clinical voice data to enhance transcription accuracy and improve summary generation logic in healthcare scenarios.
Quantitative Trading Intern
COFCO Futures Co., Ltd.
Beijing
01.2024 - 03.2024
- Conducted CSI 500 index enhancement research, performing factor-based performance attribution (momentum, market cap) to optimize strategy's risk-return profile.
- Executed scenario analysis and historical backtesting to assess market volatility risk and liquidity stress, refining large-order execution strategies and risk control frameworks.
Industry Research Assistant
SDIC Securities - Research Center
Beijing
06.2023 - 09.2023
- Collected and processed company-level data in the renewable energy and defense sectors using Wind and CSMAR databases; conducted visualization-based data analysis for multiple equity research reports.
- Supported competitive landscape analysis along the energy and defense industry chains and contributed to several industry research reports; independently authored one in-depth company report in the renewable energy sector.
Education
Master of Science - Biomedical Data Science
Nanyang Technological University
Singapore01-2027
Bachelor in Financial Mathematics -
University of International Business And Economics | School of Statistics
Beijing06-2025
Skills
- Machine learning
- Data analysis
- Statistical modeling
- Python
- R
- SQL
- Qualitative research
Projects
NTU × QuantumBlack (McKinsey) Industry Data Science Project – Customer Growth Analytics
· Built customer segmentation and repurchase propensity models using real e-commerce behavioral data to identify high-value segments and enable targeted growth strategies.
Deep Learning for Medical Image Classification
· Developed a deep learning pipeline for fundus image classification using transfer learning architectures (ResNetV2, EfficientNetV2) and addressed severe class imbalance through class-weighted loss to improve model convergence.
RNA 3D Structure Prediction (Kaggle Competition)
· Designed data preprocessing pipelines to convert biological sequence data into model-ready formats and implemented a dual-model integration workflow to improve structural coordinate prediction stability.
Quantitative Hedging Strategy for Crude Oil Futures
· Built a factor-based hedging model in R incorporating log returns, convenience yield, treasury rates, and GARCH(1,1) volatility to construct a regression-based futures hedging strategy.
Awards
- First Prize, Mathematical Contest in Modeling (MCM/ICM), Top 7% Worldwide
- Kaggle Competition Medals, Silver & Bronze, 2025 - Top global rankings across 3,000+ teams
- "Challenge Cup" National Undergraduate Entrepreneurship Competition, 2024: Beijing Gold Award, National Silver Award, Selected as Top 100 Innovation & Entrepreneurship Team in Beijing
Languages
English
Upper Intermediate (B2)
B2
Chinese (Mandarin)
Native
Native
Timeline
Medical AI R&D Intern
Nightingale, Inc.
09.2025 - 01.2026
Quantitative Trading Intern
COFCO Futures Co., Ltd.
01.2024 - 03.2024
Industry Research Assistant
SDIC Securities - Research Center
06.2023 - 09.2023
Master of Science - Biomedical Data Science
Nanyang Technological University
Bachelor in Financial Mathematics -
University of International Business And Economics | School of Statistics