Yu-Hsin(Moses) Chen

Bis 2024, Quantitative Analyst, STEAG GmbH
Düsseldorf, Deutschland

Fähigkeiten und Kenntnisse

Python
R
PowerBI
SQL
ETL
Quantitative analysis
Portfolio Management
Options
Hedging
Pricing
Renewable Energy
Business Intelligence
Software Development
Data Analysis
Unittest
Data processing
Jira
CI/CD
Salesforce
SPSS
Tableau
MatLab
LaTeX Editor
Microsoft Excel
Word
PowerPoint
Marketing
Statistics
Machine Learning
Deep Learning
Econometrics
Forecast
Classification
Energy market
Financial Analysis
Analytics
Database
Reporting
English Language
Energy
Communication skills
Team work
Reliability

Werdegang

Berufserfahrung von Yu-Hsin(Moses) Chen

  • Bis heute 5 Monate, seit Apr. 2025

    Quantitative Portfolio Management

    Statkraft Markets GmbH

    Options Hedging Benchmarking Tool: Designed and developed a Python-based hedging-strategy benchmarking tool that evaluates daily option values and P&L, dynamically adjusts hedging volumes or hedging options based on the selected strategy, and tracks performance to enable side-by-side comparison of multiple strategies and recommend the optimal hedging approach. Wind Park Pricing Tool – Testing & Validation: Implemented extensive unit testing to simulate diverse scenarios and validate tool performance.

  • 8 Monate, Sep. 2023 - Apr. 2024

    Quantitative Analyst

    STEAG GmbH

    Energy Market Prices Analytics: Conducted comprehensive analytics of intraday and day-ahead energy market prices to identify trends, seasonality, and cyclic within different time granularity by several time-series and statistical models as well as visualization packages. Python Tool Functionality Development: Developed load profile projections functionality in Python forecasting tools based on calendar arithmetic to predict future energy demand and supply.

  • 5 Monate, Feb. 2021 - Juni 2021

    Econometrics Research Assistant

    Taiwan Academia Sinica

    Food Data Analytics: Analyzing and visualizing historical data of Taiwanese food demand and supply to identify trends and develop forecasting models to predict future demand and supply from 2021 to 2050 to inform policy recommendations and long-term strategic planning. Literature Review and Strategy Development: Performed an extensive literature review on various societal and extreme climate scenario.

  • 3 Monate, Apr. 2018 - Juni 2018

    Quantitative Marketing

    Carousell

    Data-Driven Marketing Analytics: Online and offline questionnaire design and leveraging different statistical models and plotting tools toidentify potential customers and predict future App downloading trends and visibility Achievement: The visibility of the App increased from 63.7% to 72.9% in the university campus within the internship period

Ausbildung von Yu-Hsin(Moses) Chen

  • 2 Jahre und 11 Monate, Okt. 2021 - Aug. 2024

    Economics(Specialized in Econometrics and Statistics)

    Rheinische Friedrich-Wilhelms-Universität Bonn

    GPA: 2.1/1

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