Financial Ombudsman Service appoints interim chief

The Financial Ombudsman Service has announced the appointment of Nausicaa Delfas as its interim chief executive and chief ombudsman.

She will officially take up the role on 17 May and succeeds Caroline Wayman, who has stepped down after seven years as chief executive and chief ombudsman.

Delfas will join the organisation from the Financial Conduct Authority, where she is currently the executive director of international and interim chief operating officer.

The Financial Ombudsman Service confirmed she will be in post while its board carries out an open recruitment process for a permanent chief executive and chief ombudsman. 

Commenting on the move, Delfas revealed she is “honoured” to be appointed interim chief executive and chief ombudsman of the Financial Ombudsman Service.

“The Financial Ombudsman Service plays an essential role in ensuring the financial system works for everyone – financial services firms, consumers and businesses,” she commented.

“Building on Caroline Wayman’s legacy, my priority will be to lead the Financial Ombudsman Service to ensure we deliver an effective and reliable service.”

Chairman Baroness Zahida Manzoor, added: “I am delighted to welcome Nausicaa Delfas to the Financial Ombudsman Service as our interim chief executive and chief ombudsman; she brings a wealth of experience and a firm understanding of the environment within which we are operating and the challenges that lie ahead.

“The service enters this financial year ready to move beyond PPI and focused on providing a timely and efficient service to our customers. And we do so, looking ahead, albeit cautiously, to more positive times as we emerge from a global pandemic. The board, the executive team and I are looking forward to working with Nausicaa.”

    Share Story:

Recent Stories


Deep Neural Networks for FX Prediction
Adam Cadle speaks to Richard Turner Head of Research and Mike Emambakhsh, Ph.D. Senior Research Scientist at Mesirow Currency Management about their work with Machine Learning, specifically Deep neural networks for FX prediction.

FREE E-NEWS SIGN UP

Subscribe to our newsletter to receive breaking news and other industry announcements by email.

  Please tick here to confirm you are happy to receive third party promotions from carefully selected partners.