Zimin Lu
About Zimin Lu
Zimin Lu is the Lead of Quantitative Analytics & Structuring at ExxonMobil, with extensive experience in energy markets, investment banking, and quantitative trading algorithms.
Company
Zimin Lu is currently serving as Lead, Quantitative Analytics & Structuring at ExxonMobil, stationed in Houston, Texas. With a tenure starting from 2018, he heads the development and execution of core modeling and structuring strategies within the organization. Prior to his current role, Zimin has held notable positions in other leading companies within varying segments of the energy and finance industries.
Previous Roles and Experience
Before joining ExxonMobil, Zimin Lu held pivotal roles in prominent companies like Exelon, BP, Deutsche Bank, GDF Suez North America, and Enron Europe Ltd. At Exelon, he was Senior Manager, Risk Management | RPA from 2014 to 2018, working in the Baltimore, Maryland Area. Prior to Exelon, he served BP from 2006 to 2014 in Houston as Manager, Head of Quantitative Analytics, and Sr. Data Scientist, Predictive Analytics. His experience also includes a tenure at Deutsche Bank as Vice President, Products Development, desk quant, from 2004 to 2006 in New York, as well as roles at GDF Suez North America and Enron Europe Ltd in high-ranking positions focusing on research, analysis, and quantitative analysis respectively.
Education and Expertise
Zimin Lu possesses a strong academic background rooted in the sciences. He earned his Ph.D. in Physics from Drexel University from 1988 to 1992. Following this, he completed a Postdoctoral fellowship in Quantum Chemistry at Princeton University from 1993 to 1995. His educational journey laid the groundwork for his extensive experience in the practical applications of quantitative trading algorithms, derivatives pricing, asset optimization, and machine learning. These skills are instrumental in his roles across different sectors in energy wholesale and retail markets, investment banking, electric utilities, and the oil & gas business.
Specialization and Skills
Zimin Lu has a specialization in the practical applications of quantitative trading algorithms, derivatives pricing, asset optimization, and machine learning. His roles typically involve leading core modeling and development projects that integrate advanced quantitative techniques and data analytics. Moreover, he is recognized for his unique ability to effectively communicate complex technical concepts to both technical teams and management-level stakeholders. He combines analytical, innovative, pragmatic, and intuitive problem-solving capabilities with strong leadership skills in his professional endeavors.