Summary
Adam Gorin is a Data Scientist II at Luno with nine years of experience blending quantitative finance, machine learning, and risk analytics to build scalable data products that drive measurable business outcomes. With a Business Science degree in Actuarial Science and an MSc in Finance and Technology, he has shipped fraud detection models, market-maker segmentation dashboards, and float optimisation strategies that unlocked over $3.5M in capital. He bridges analytics and operations by translating complex metrics into treasury, product, and compliance actions across global markets. Equally comfortable in Databricks and MLflow as in SQL and PySpark, Adam focuses on actionable solutions—often surfacing non-obvious signals like market maker concentration risk—to inform strategy and reduce platform losses.
9 years of coding experience
1 year of employment as a software developer
MSc in Finance and Technology, Fintech, 83%, MSc in Finance and Technology, Fintech, 83% at Vrije Universiteit Amsterdam (VU Amsterdam)
Business Science Actuarial Science Specialising in Quantitative Finance, MATHEMATICS AND STATISTICS, Business Science Actuarial Science Specialising in Quantitative Finance, MATHEMATICS AND STATISTICS at University of Cape Town
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