John Piotrowski

John Piotrowski is a seasoned professional with a background in full-stack development, specializing in the deployment of quant and machine-learning solutions for trading, investing, and business optimization across major cities like NYC, SF, Chicago, Miami, and Houston.

With a rich history at renowned organizations like Goldman Sachs and McKinsey, John is also an established FinTech entrepreneur, delving into various domains including algorithmic trading, systematic credit, private credit, renewable energy, infrastructure, and real assets using technologies like machine learning and deep learning.

John's technical prowess includes expertise in diverse tools and languages such as Linux, AWS, Azure, GCP, Terraform, Python, C++, Node.js, Go, Rust, SQL, Mongo, Redis, Spark, Kafka, scikit, TensorFlow, Tableau, React, Django, Keras, and many others.

Having pursued a Master of Science in Financial Mathematics from New York University and holding a Bachelor of Arts in Economics, History, and Math from the University of Virginia, John has a strong educational foundation to complement his extensive practical experience.

Throughout his career, John has held key roles in organizations like Suijin Strategies, TILT Investment Management, and The Ocean, while also contributing significantly to the industry through positions such as Vice President at Goldman Sachs and a Research Fellow at McKinsey & Company.

In summary, John Piotrowski is a multifaceted professional with a wealth of experience in finance, technology, and entrepreneurship, making significant contributions to the fields of algorithmic trading, credit investing, and machine learning.