The financial sector is one of the most promising fields for data science. Data analysis technologies like machine learning have substantial potential in the industry, and the rise of financial technology (fintech) provides even more opportunities for data scientists. As data science operations within finance and fintech have grown, Python... Read more

Recent advances in machine learning have proved to be particularly beneficial in the financial sector, helping organizations avoid loss through fraud detection and streamline their processes. To learn more about how machine learning is transforming the financial industry, check out the below ODSC Europe talks on quant finance in AI.... Read more

AI is becoming increasingly important to the finance industry. Over the past several years, companies in the financial sphere have been integrating AI into their businesses in exciting and innovative ways. Below are just a few examples of how some companies are utilizing AI to improve processes, products, services, and... Read more

Many finance companies are getting some massive help from AI handling things like security, loss prevention, and predictive decision making—think underwriting for mortgages or credit decisions. [Related Article: Generative Adversarial Networks for Finance] While AI is making the rounds for many companies and organizations, a few are taking that capability... Read more

This posting discusses generative adversarial network for finance. Financial instruments like options and futures have been around for more than two centuries. Although they became quite notorious during the 2008 stock market turmoil, they serve a real economic purpose for companies around the world. [Related article: Using GANs to Generate... Read more

This presentation by Eric Hamer will take you through the basics of machine learning and quant finance, and illustrate how to create and test machine learning strategies using Quantiacs. The webinar covers: – An Overview of Machine Learning – The Machine Learning Process – Features of the Quantiacs toolkit –... Read more

What can financial analysts learn from computer scientists about data science? And can computer scientists change their approach to appeal to finance professionals? Data scientists typically argue about the relative merits of the statistical and algorithmic approaches to data mining (Leo Breiman – The Two Cultures). Anyone who has done... Read more

What can financial analysts learn from computer scientists about data science? And can computer scientists change their approach to appeal to finance professionals? Data scientists typically argue about the relative merits of the statistical and algorithmic approaches to data mining (Leo Breiman – The Two Cultures). Anyone who has done... Read more

Not surprisingly… hedge funds and especially quant funds are notorious for being secretive about the algorithms they employ to beat the market. A Boston based startup is taking a different approach. Thomas Wiecki is the Head of Research at Quantopian, which hosts an open source platform that allows anyone on... Read more

AI has been all the rage over the last year or so. Much of this is due to how it has impacted businesses, governments, and even art. But there are some interesting things outside of those scopes that have many puzzled, or outright perplexed. Though it’s natural for humans to... Read more