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Clarence Stephen
Vice President, Quantitative Strategist at Morgan Stanley
Clarence Stephen is a skilled Data Scientist with a strong background in physics and mathematics, boasting over a decade of experience in finance and mobile commerce.
He excels in leveraging data to steer investment decisions, boost customer adoption rates, slash costs, amplify profits, and enhance operational efficiency.
Proficient in Python, SQL, Tableau, and result communication, Clarence is particularly passionate about Product Analytics, Recommendation Systems, and Applied Machine Learning.
Driven by the practical application of data-driven decision-making to yield tangible outcomes, his educational journey includes studying Japanese and French Language and Literature, and earning a degree in Physics from Yale University.
Throughout his career, he has held notable positions such as Vice President and Quantitative Strategist at Morgan Stanley, Data Scientist at Mars, Data Scientist in Financial Data & Research at Button, and various other roles in reputed organizations.
