Ripple
Ava (Ziqin) Jiang is a seasoned professional with extensive experience in quantitative development and data science. Currently serving as a Senior Quantitative Developer at Ripple, Ava focuses on leveraging machine learning to optimize XRP liquidation. Previous roles include Quantitative Developer at AP Capital, where Ava led an on-chain trading project and developed trading strategies, and Data Science Lead at Clutch, where Ava created data visualizations and built predictive machine learning models. Early career positions include roles at BMO Capital Markets, where Ava worked as an analyst and trader across various desks, and initial experiences in web development and quality assurance. Ava holds a Bachelor's Degree in Computer Science and Statistics from the University of Waterloo and a Master's Degree in Computer Science with a specialization in Machine Learning from Georgia Institute of Technology.
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Ripple
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Ripple provides one frictionless experience to send money globally using the power of blockchain technology. By joining Ripple’s growing global network, financial institutions can process their customers’ payments anywhere in the world instantly, reliably and cost-effectively. Banks and payment providers can use the digital asset XRP to further reduce their costs and access new markets.