The Tech of FinTech

FinTech startups have led the way in adopting new technology such as cloud, pushing down perceived regulatory barriers as they go. In response established financial services firms have also been building their own modern architectures. This track will feature presenters from both, examining the tech they've adopted, and the business value that it's delivered.

From this track

Session software architecture

Unveiling the Tech Underpinning FinTech's Revolution

Wednesday Apr 10 / 10:35AM BST

Building and hyperscaling in a fintech is not only possible, but more straightforward than you may think. Based on lessons from various companies, including Revolut and LMAX, we share examples and the dark sides of rapid-scaling.It's going to be an opinionated story with a pinch of fun.

Speaker image - Wojtek Ptak
Wojtek Ptak

Head of Engineering @Revolut, Ex-CTO, Co-Host of CTO Morning Coffee Podcast

Speaker image - Andrzej Grzesik
Andrzej Grzesik

Building Distributed System @LMAX, GeeCON Organizer


Uncomplex: Modern Hardware for Better Software

Wednesday Apr 10 / 11:45AM BST

While it's easy to launch a technology startup, it's harder than ever to grow it to delight clients profitably. Cloud providers and their developer advocates have popularised expensive architectures to solve problems that were relevant 10 years ago.

Speaker image - John O'Hara
John O'Hara

Father of AMQP, Venture Partner @Fidelity, Founder @Taskize, Director @Adaptive @Finbourne, Past DE @JPM DE

Session Responsible AI

Responsible AI for FinTech

Wednesday Apr 10 / 01:35PM BST

The latest wave of hype/interest in AI has accelerated public misgivings and regulatory scrutiny. Businesses, especially in already-regulated industries, are scrambling to assess compliance and find viable ways to continue profitable use of data and AI.

Speaker image - Lexy Kassan
Lexy Kassan

Lead Data & AI Strategist @Databricks, Host of the Data Science Ethics Podcast, Building Responsible, Value-Oriented Data & AI Practices for Over 20 Years


Why a Hedge Fund Built Its Own Database

Wednesday Apr 10 / 02:45PM BST

Why did an alternative asset manager build its own database?  Can you over-normalise your data?  What real-world features of data create challenges?  In this talk we will look at some of the unique aspects of ArcticDB and how goes about solving some of these challenges. 

Speaker image - James Munro
James Munro

Head of ArcticDB, Man Group

Session Serverless

Lessons & Best Practices from Leading the Serverless First Journey at CapitalOne

Wednesday Apr 10 / 03:55PM BST

Going serverless? Worried about challenges with performance, cost, and scale? At CapitalOne, we embraced a serverless first mentality across thousands of applications live today. This talk covers our journey into serverless.

Speaker image - George Mao
George Mao

Senior Distinguished Engineer @Capital One Leading All Things Serverless, Ex-AWS WW Serverless Tech Lead

Track Host

Ian Ellis

Technology Strategy Consultant, Venture Partner, and Angel Investor

Ian Ellis is a Venture Partner at Next47, an independent technology strategy consultant and a lead of the OperAngels industry expert angel syndicate.  He has spent the majority of his career working with some of the world’s most prominent organisations, including Morgan Stanley, Deutsche Bank, Prudential Financial and Microsoft.

Typically, his work involves understanding key technology trends, aligning them with the technology & business strategies of major organisations and engaging the ecosystem of innovative new companies to find emerging market leaders.

Ian co-founded the OperAngels syndicate of industry experts, focused predominantly on making angel investments in the enterprise tech and cyber security spaces. He is also the Founder of Enterprise Tech London (including the London Enterprise Tech Meetup) and helped build out the Accenture FinTech Innovation Lab in London.

He holds a BA in Economics & Information Studies from University College Dublin and an MSc in Analysis, Design & Management of Information Systems (with distinction) from the London School of Economics.

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