Machine LearningMarket Making InnovatorI’m here to help you rapidly create optimum quotes that win market share while maximizing your trading and portfolio management objectives – all with powerful machine learning models, so you can accomplish more while doing less.Nathaniel boasts an exceptional track record of collaboration with “household-name” corporations such as Microsoft and JP Morgan & Chase.During his time at Microsoft as an applied machine learning researcher and data scientist, he was responsible for increasing the revenue of the Bing Ads platform by a staggering $100 million. And his work with JP Morgan & Chase yielded an estimated production improvement between $10 – 50 million. This is where he was first introduced to market making and the immense potential of machine learning to revolutionize this industry.As the head of machine learning R&D at AIM2, he helped them innovate their AI-based government bonds by lending them his expertise in experimentation protocol and installing several advanced machine learning techniques into their repertoire, honing his own ability to generate phenomenal results along the way.Having held the title of Machine Learning Executive Director for one of the largest financial institutions in the world (JP Morgan/Chase), he has now decided to bring the machine learning expertise of Fortune 500 companies to sell-side OTC traders at all sized firms.When he is not putting his years of experience maximizing production and profits to use for your benefit, Nathaniel can be found spending time with his amazing wife of 14 years, playing with his 3 young kiddos or volunteering with his local youth program.