Dan Jordan, Chief Executive Officer & Founder

Dan brings over 20 years experience of trading financial markets, starting out in the late nineties on the trading floors of Citibank and HSBC Investment Bank in London and later New York in private client wealth management. Having been introduced to technical analysis in New York, Dan returned to London to establish a stockbroking firm specialising in US Equities for UK clients where he embarked upon construction of his first custom built indicators.

Having completed his first quantitative trading model in 2005, Dan launched a US Equity Long/Short fund in 2006 returning 29% net of all fees in its first year on the $30mm seed investment. In 2007, Dan moved on to a larger challenge at Swiss-based hedge fund Absolute Capital with a mandate to co-manage over €560mm of US and European Equities and derivatives. The strategy was developed further for high volatility intraday trading and adding criteria that would identify market extremes likely to face sharp mean reversion in the very immediate future. Two of the funds were ranked in the Top Ten for 2008, arguably the worst bear market in history.

After returning to London in 2010 as Head of Equities & Equity Derivatives on the institutional sell-side, the strategy was distributed in a lighter format to Tier 1 & 2 investment banks, funds and prop houses throughout Europe and New York, many of whom remain clients today.

Dan joined forces with superior programmer and co-founder Simon Feven in 2017 to develop automated delivery of a wider suite of market timing products, delivered to institutional clients via the web-based solution that is today Newcomb Analytics.

Simon Feven, Chief Technology Officer & Founder

Simon Feven began his career in the computer simulation space by modelling complex internal fluid flows for the automotive industry in 1998. He graduated from Brunel University in 2001 and transitioned to the oil & gas industry, working for a computational fluid dynamics (CFD) consulting company where he undertook programming in various languages, IT infrastructure design and implementation and external project work. Simon later returned to the automotive sector, modelling external air flows at the BAR Honda Formula 1 team.

In 2005 Simon was approached to set up and lead a computer-aided engineering (CAE) and simulation department for Abbott Risk Consulting, an independent safety and risk consultancy with offices throughout the UK and Australia, serving major oil & gas, nuclear and transport companies all over the world. On a tight budget Simon built what was arguably the most efficient CFD department in the world thanks to a custom computing cluster and unique, network based, Gentoo Linux operating system, which is what Google later based their emerging Chrome OS on in 2010.

In 2008 Simon began pursuing his interest in financial markets. He soon realised that his engineering and programming skills were particularly suited to analysing patterns in price data and executing successful trades. Simon began the development of a trading algorithm based on some of the tools and techniques developed over the prior 4 years and during a meeting with institutional investors regarding adoption of his algorithm he was introduced to Dan Jordan. Recognising a shared passion for the potential that web-based analytics can offer, they joined forces in 2017 to develop a toolkit that offers traders and investors a unique insight into financial market risk assessment.