DIFR – Daily Investment Funds Return and other CBI initiatives
Event Details
Free
Date and Time
Tue, 24 March 2026
13:00 - 14:00
Location
Your event link is available via IOB Learn
Event Details
Free
Date and Time
Tue, 24 March 2026
13:00 - 14:00
Location
Your event link is available via IOB Learn
Join Brian Golden and Antariksh Agarwal from the Central Bank of Ireland for an engaging presentation on the introduction of DIFR. Brian and Antariksh will share exclusive perspectives from inside the CBI on how the Bank is utilising this data, the benefits of industry engagement and about a new automated compliance monitoring tool.
There is 1 CPD hour available for the following desigations
Professional Banker
Certified Investment Fund Director
Fellow of Compliance Institute (Compliance)
Certified Fintech Risk & Compliance Professional
Accredited Funds Professional
Brian Golden
Data Analytics Manager, Office for Enterprise Change | Central Bank of Ireland
Brian Golden is focused on leading risk-mitigating transformation driven by strategic priorities. He led the Data Strategic Initiatives team over the past two years, delivering daily fund data and automated regulatory compliance monitoring.
Brian is currently spearheading a digital transformation workstream focused on AI and automation, targeting millions of euro in efficiency savings while improving people’s work lives.
He has over 25 years’ experience as an economist, risk advisor and project manager, specialising in regulation, data analytics and policy at national and international levels.
Antariksh Agarwal
Supervisor, Data Management and Intelligence | Central Bank of Ireland
Antariksh Agarwal has spent over five years working in the Irish financial sector, with a focus on data strategy and regulatory oversight. Currently a Supervisor in the Data Management and Intelligence team at the Central Bank of Ireland, he manages the automated data cycles that ensure accurate reporting for the Capital Markets and Funds division.
He specialises in bridging the gap between technical systems and business needs, employing AI and advanced analytical frameworks to enhance supervisory tools and generate the insights required for informed, data-driven decision-making.
