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I’m a technology leader and entrepreneur, applying AI to a field where it can make a massive impact: helping people discover their potential and pursue their reason for being. But at my core, I’m a coder. I learned how to program aged 8 and I still spend many weekends writing code (rather badly). If you’d like to join us to show me how it’s done.. message me!I spent most of my career at JPMorgan building software for financial markets. I worked in London, Tokyo and New York. I became an MD running a global organization of 300. Then I left to start my own business, untapt, to solve the problem that had plagued me at JPM - why is so hard to hire engineers?At untapt we worked with GQR, the global talent acquisition business that’s one of the fastest growing recruitment firms on the planet. We collaborated on a groundbreaking, patented invention at the forefront of AI and talent. Our skills were perfectly complementary - untapt as technical leaders, GQR as recruitment leaders - so much so, that we decided to join forces. In 2020, untapt was acquired by GQR’s parent company, Wynden Stark, and Nebula was born.I’m now Co-Founder and CTO for Nebula, responsible for software engineering and data science. Recruiters use our product today to source, understand, engage and manage talent. Our stack is Python/Flask, React, Mongo, ElasticSearch, and we run with Kubernetes on GCP. We create LLMs and matching models using PyTorch and other NLP libraries. If any of this sounds interesting - we should talk!
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Co-Founder & CtoNebula.Io Jun 2021 - PresentNew York, New York, UsI’m the co-founder and CTO of Nebula.io. We help recruiters source, understand, engage and manage talent, using Generative AI and other forms of machine learning. Our patented model matches people with roles with greater accuracy and speed than previously imaginable — no keywords required. Take a look for yourself at https://nebula.io; it’s completely free to try.Our long term goal is to help people discover their potential and pursue their reason for being, motivated by a concept called Ikigai. We help people find roles where they will be most fulfilled and successful; as a result, we will raise the level of human prosperity. It sounds grandiose, but since 77% of people don’t consider themselves inspired or engaged at work, it’s completely within our reach. -
Chief Technology OfficerGqr Global Markets Jan 2020 - PresentNew York, Ny, UsAs CTO of parent company Wynden Stark, I'm also responsible for innovation at GQR where I lead initiatives to support the hyper-growth of the business, with particular focus on the Healthcare division. -
Chief Technology OfficerWynden Stark Jan 2020 - PresentLondon, GbWith the acquisition of untapt, I transitioned to Chief Technology Officer for the Wynden Stark Group, responsible for Data Science and Engineering. -
Founder, CtoUntapt May 2019 - Jan 2020New York, UsI founded untapt in October 2013; emerged from stealth in 2014 and went into production with first product in 2015. In May 2019, I handed over CEO responsibilities to Gareth Moody, previously the Chief Revenue Officer, shifting my focus to the technology and product.Our core invention is an Artificial Neural Network that uses Deep Learning / NLP to understand the fit between candidates and roles.Our SaaS products are used in the Recruitment Industry to connect people with jobs in a highly scalable way. Our products are also used by Corporations for internal and external hiring at high volume. We have strong SaaS metrics and trends, and a growing number of bellwether clients.Our Deep Learning / NLP models are developed in Python using Google TensorFlow. Our tech stack is React / Redux and Angular HTML5 front-end with Python / Flask back-end and MongoDB database. We are deployed on the Google Cloud Platform using Kubernetes container orchestration.Interview at NASDAQ: https://www.pscp.tv/w/1mnxeoNrEvZGX -
Founder, CeoUntapt Oct 2013 - May 2019New York, UsI founded untapt in October 2013; emerged from stealth in 2014 and went into production with first product in 2015.Our core invention is an Artificial Neural Network that uses Deep Learning / NLP to understand the fit between candidates and roles.Our SaaS products are used in the Recruitment Industry to connect people with jobs in a highly scalable way. Our products are also used by Corporations for internal and external hiring at high volume. We have strong SaaS metrics and trends, and a growing number of bellwether clients.Our Deep Learning / NLP models are developed in Python using Google TensorFlow. Our tech stack is React / Redux and Angular HTML5 front-end with Python / Flask back-end and MongoDB database. We are deployed on the Google Cloud Platform using Kubernetes container orchestration.-- Graduate of FinTech Innovation Lab-- American Banker Top 20 Company To Watch-- Voted AWS startup most likely to grow exponentially-- Forbes contributorMore at https://www.untapt.comInterview at NASDAQ: https://www.pscp.tv/w/1mnxeoNrEvZGXIn Fast Company: https://www.fastcompany.com/3067339/how-artificial-intelligence-is-changing-the-way-companies-hire -
Managing DirectorJpmorgan Chase May 2011 - Mar 2013New York, Ny, UsHead of Technology for the Credit Portfolio Group and Hedge Fund Credit in the JPMorgan Investment Bank.Led a team of 300 Java and Python software developers across NY, Houston, London, Glasgow and India. Responsible for counterparty exposure, CVA and risk management platforms, including simulation engines in Python that calculate counterparty credit risk for the firm's Derivatives portfolio.Managed the electronic trading limits initiative, and the Credit Stress program which calculates risk information under stressed conditions. Jointly responsible for Market Data and batch infrastructure across Risk. -
Executive DirectorJpmorgan Chase Jan 2007 - May 2011New York, Ny, UsFrom Jan 2008:Chief Business Technologist for the Credit Portfolio Group and Hedge Fund Credit in the JPMorgan Investment Bank, building Java and Python solutions and managing a team of full stack developers.2007:Responsible for Credit Risk Limits Monitoring infrastructure for Derivatives and Cash Securities, developed in Java / Javascript / HTML. -
VpJpmorgan Chase Jul 2004 - Dec 2006New York, Ny, UsManaged Collateral, Netting and Legal documentation technology across Derivatives, Securities and Traditional Credit Products, including Java, Oracle, SQL based platforms -
VpJpmorgan Chase Oct 2001 - Jun 2004New York, Ny, UsFull stack developer, then manager for Java cross-product risk management system in Credit Markets Technology -
Project LeaderCygnifi Jan 2000 - Sep 2001Full stack developer and engineering lead, developing Java and Javascript platform to risk manage Interest Rate Derivatives at this FInTech startup and JPMorgan spin-off.
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AssociateJpmorgan Jul 1997 - Dec 1999New York, Ny, UsFull stack developer for Exotic and Flow Interest Rate Derivatives risk management system in London, New York and Tokyo -
Software DeveloperIbm Aug 1995 - Jun 1997Armonk, New York, Ny, UsJava and Smalltalk developer with IBM Global Services; taught IBM classes on Smalltalk and Object Technology in the UK and around Europe
Ed Donner Skills
Ed Donner Education Details
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University Of OxfordPhysics
Frequently Asked Questions about Ed Donner
What company does Ed Donner work for?
Ed Donner works for Nebula.io
What is Ed Donner's role at the current company?
Ed Donner's current role is Co-Founder & CTO at Nebula.io.
What is Ed Donner's email address?
Ed Donner's email address is ed****@****ail.com
What is Ed Donner's direct phone number?
Ed Donner's direct phone number is +191776*****
What schools did Ed Donner attend?
Ed Donner attended University Of Oxford.
What skills is Ed Donner known for?
Ed Donner has skills like Natural Language Processing, Early Stage Startups, Deep Learning, Python, Ai.
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