LARS RAPHAEL LAMMERSKOTTER
Mercedes-Benz Group Services Phils. Inc. (MBGSP)
VALENS ALUMNI ASSOCIATION
Lars Raphael Lammerskotter has been working as an analyst within the vendor master data team at Mercedes-Benz Group Services Phils. Inc. (MBGSP) for the past three and a half years.
Their team works closely with their business partners at Daimler Group Services Berlin (DGSB) and creates and maintains the vendor or supplier master data of Daimler AG – which is the holding company of the Mercedes-Benz brand – and its other affiliates, such as EvoBus GmbH, Mercedes-AMG GmbH, etc.
Outside his main job, he also provides services as a licensed real estate broker on a freelance basis, as well as a licensed financial adviser at the Insular Life Assurance Company Ltd.
He was the chairman of the Finance Club and also a member of the board of directors of the Society of Young Business Executives and Entrepreneurs (SYBEE) in their university when he was in college.
Prior to his current job, Lars was a Research intern at EAS. He worked with the team of analysts in aggregating large amounts of financial data from financial statements and monthly reports filed by U.S. corporations through EDGAR, which they used as inputs for the research and financial models.
Lars is thankful to everyone at Valens/EAS for his best internship experience. He is thankful for all the learnings that he acquired. He was able to apply all the things he had learned in his finance courses in college. Some of the memorable moments for him when he was an intern were reading the book, “DRIVEN: Business Strategy, Human Actions, and the Creation of Wealth,” and also watching all the videos of Professor Joel Litman’s lectures.
One of the things that he’s looking forward to in his career is to find ways on how to continuously increase their team’s output with the same amount of inputs. In his opinion, artificial intelligence and the application of virtual robots will play a bigger role in automating business processes. The biggest opportunities will lie on those areas where human resources cannot be replaced by machines.
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