Richard Weber, Chief of Criminal Investigation at the US Internal Revenue Service, and Jennifer Haslett, Corporate Crime & International Engagement Lead at HRMC Centre for Offshore Tax Evasion Strategy, are the keynote speakers at the Jersey International Business School’s 12th Annual Compliance & Economic Crime Symposium which takes place at the Hotel de France on Tuesday 03 November 2016.

As Chief of IRS Criminal Investigation, Richard Weber heads the Internal Revenue Service division responsible for investigating criminal violations of the tax code and related financial crimes. Headquartered in Washington, D.C., Richard oversees a worldwide staff of nearly 3,500 CI employees, including approximately 2,300 special agents, who investigate crimes involving tax, money laundering, public corruption, cyber, ID theft, narcotics and terrorist-financing.

Richard will be talking about the role of IRS-CI in the fight against offshore tax evasion, global corruption and international money laundering.

Jennifer Haslett has been working on international engagement on tax policy issues within HM Treasury and HMRC since 2011. Since working on the introduction of FATCA and information exchange under the Common Reporting Standard, Jennifer has been leading on legislating for a new offence to apply to corporations whose representatives criminally facilitate tax evasion and international engagement to tackle offshore non-compliance.

Jennifer will speak at the symposium about tackling the facilitators of offshore tax evasion.

Other speakers include:

  • Jonathan Fisher QC, visiting professor at LSE Law
  • John Thompson, head of financial crime policy at the British Bankers' Association
  • Neil Bennett, formerly of Scotland Yard’s National Terrorist Financing Investigation Unit

The symposium is sponsored by KYC360° and supported by the JCOA, ICA, STEP and JADO, whose members receive a discount on the cost of the symposium. Bookings are currently being accepted and can be placed on the Symposium website www.JerseySymposium.com