Pi Te Chen

Business Development Executive

Taiwan8 mos experience

Key Highlights

Expert in low-latency trading solutions.
Proven track record in supply chain optimization.
Skilled in developing predictive analytics models.

Stackforce AI infers this person is a Supply Chain and Trading Solutions Expert with strong analytical capabilities.

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Skills

Core Skills

Market AnalysisSupply Chain OptimizationData Analysis

Other Skills

Market access and infrastructureStrategic advisoryCross-border client onboardingFinancing and leverage solutionsPython (Programming Language)R (Programming Language)Microsoft Power BIMachine LearningSupply Chain AnalysisAmazon Web Services (AWS)Google Cloud Platform (GCP)Data MiningSAS (Programming Language)Statistical Data AnalysisData Visualization

Experience

Fubon securities co. ltd.

HFT Sales

Jul 2025 – Present · 8 mos

Responsible for developing and managing relationships with global high-frequency trading (HFT) and quantitative trading firms seeking access to Taiwan’s equity markets.
Key areas of focus include:
Market access and infrastructure – Providing clients with low-latency connectivity, colocation, and exchange access.
Strategic advisory – Sharing insights on Taiwan’s market microstructure, trading behavior, and execution environment.
Cross-border client onboarding – Coordinating with legal, compliance, and technical teams to streamline setup for offshore entities.
Financing and leverage solutions – Supporting clients with customized financing arrangements to enhance capital efficiency.
Partner closely with global proprietary trading firms, hedge funds, and market makers to help them expand into Taiwan’s growing and technologically advanced trading ecosystem.

Market access and infrastructureStrategic advisoryCross-border client onboardingFinancing and leverage solutionsMarket AnalysisSupply Chain Optimization

Graybar

Business analyst

Aug 2023 – Present · 2 yrs 7 mos · Illinois

Built and maintained a 10-year supply-chain time-series forecasting framework in Python, updating the model monthly with newly ingested data; reduced forecasting error by 13% and strengthened overall supply-chain reliability.
Developed machine-learning models in R and Python to predict performance of high-value and high-volume suppliers; visualized outputs in Power BI to support decision-making, achieving a 22% improvement in predictive accuracy and enabling more effective procurement planning and supplier negotiations.

Python (Programming Language)R (Programming Language)Microsoft Power BIMachine LearningSupply Chain AnalysisData Analysis+1