William Lazo
Critic · DISC type CWilliam Lazo is a Quantitative Analyst at PNC in New York, specializing in credit risk analysis. A recent graduate from the University of Maryland with a B. S. in Data Science, he leverages advanced Python skills to develop and validate predictive models, building upon a successful internship with the firm.
Before his career in finance, William worked as a bartender, where he mastered numerous cocktails and honed his ability to build rapport in a fast-paced environment. This unique background provides him with a blend of strong analytical capabilities and excellent interpersonal skills, demonstrating adaptability and a commitment to personal growth.
He successfully transitioned his career from the hospitality industry to quantitative finance at a major bank.
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They like to take decisions independently and do not seek others' support often. Unless the value is proven by data, they are unlikely to value fancy features. It is very likely that they will negotiate pricing or other important terms.
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Calculativeness (C)
Calculativeness (C) reflects the degree to which a person is likely to be cautious, systematic and analytical. Those scoring high tend to emphasise quality and accuracy.
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