Chiehlun Cesar Yang
Aml Quant @Bank of America Merrill Lynch
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WORK HISTORY
Aml Quant @Bank of America Merrill Lynch
EDUCATION
Gies College of Business - University of Illinois Urbana-Champaign
Master of Science - MS, Accounting
Illinois Institute of Technology
Master of Science, Finance
Gies College of Business - University of Illinois Urbana-Champaign
Master of Business Administration - MBA
University of Illinois Chicago
Bachelor of Arts, Political Science (International Relations; American Politics)
University of Illinois Chicago
Bachelor of Arts, Economics (Macroeconomics; Econometrics)
ABOUT CHIEHLUN CESAR YANG
With over 10 years of experience in the finance industry, I am a data science leader who combines technical skills, business acumen, and accounting knowledge to deliver innovative solutions. As a Principal Data Scientist at Discover, I work with a cross-functional team to develop and deploy data-driven models and strategies that optimize customer acquisition, retention, and profitability. I leverage my expertise in Black-Scholes, stochastic methods, and Greeks to design and implement complex pricing and risk management algorithms for various financial products and services. Previously, I was a Quantitative Developer at Bank of America Merrill Lynch, where I supported the trading and research teams with data analysis, backtesting, and automation. I also have a strong background in financial management and business analytics, as I hold an MBA and an MS in Accounting from Gies College of Business - University of Illinois Urbana-Champaign. I am passionate about applying data science to solve real-world problems and create value for customers and stakeholders. I am always eager to learn new skills and techniques, collaborate with diverse and talented colleagues, and contribute to the mission and vision of Discover.
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