June 17th from 15:00 – 16:00 CET

Google Cloud - Solutions for Financial Services

Code Breakfast June 24th - 8:30 -10:00 CET

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Financial Services have always been the domain of real-time processing of huge amounts of data. Being a highly regulated market, the industry boasts some of the highest security standards. Join this session to learn how financial services organizations, like banks, payment services providers, or trading firms, transform into fintech organizations. By leveraging cloud technology, fintech organizations take their performance to the highest level whilst maintaining compliance and security standards.

AGENDA

15:00 Welcome and Introduction

15:05 Data-Driven Banking – Vision of Google Cloud on Finance.

Speaker: Wiljo van Beek, Principal Architect Financial Services Google

15:30 High-Frequency Data Processing – Implementing Cloud-Based Scalable Infrastructures for High-Frequency trading.

Speaker: Diederik Greveling, ML Engineer GoDataDriven

15:55 Q&A

16:00 End

Data-Driven Fintech

Financial Services have always been the domain of real-time processing of huge amounts of data. Being a highly regulated market, the industry boasts some of the highest security standards. Join this session to learn how financial services organizations, like banks, payment services providers, or trading firms, transform into fintech organizations. By leveraging cloud technology, fintech organizations take their performance to the highest level whilst maintaining compliance and security standards.

Intended Audience

This event is perfect for team leads, product managers, IT directors, engineering managers and other professionals working for Finance organizations that are interested to learn more about the potential value of cloud technology for their business.

Topic 1: Data-Driven Banking

Speaker: Wiljo van Beek, Principal Architect Financial Services Google 

Shifting customer expectations, regulatory developments, anti-money laundering programs, and a changing competitive landscape requires banks to transform their business. Technology offers an opportunity to accelerate disruption. In this presentation, you will hear how banks and other financial institutions (like fintech start-ups/scale-ups) can use data and analytics technologies to reimagine customer relationships, help transform data into revenue and help drive operational improvements within core systems.

The Changed Attitude of Customers

Customers are looking for more personalized advice, and for seamless higher-quality experiences, with less tolerance for broken systems and processes. An optimized customer experience is a differentiator, and technology plays a central role in enabling that.

Risk Mitigation and Regulatory Compliance

Risk exposure is increasing on a regular basis, with insurers continuing to be top targets for hackers and thieves. Fraud and scams are on the rise too as criminals become more and more sophisticated in their methods.  The cost of these risks is mounting.  So too are the costs of regulatory compliance – and even though some regulations seem to be lightening, the cost of compliance is still a significant burden.

Accelerating Change Through Technology

However, inflexible, expensive legacy infrastructure prevents rapid change, e.g. data remains in silos and is difficult to use effectively. And then there’s the pressure from FinTech companies.  Annual investments in FinTech start-ups have- increased 5x over the past three years, and 90% of banks fear they will lose business to a start-up as an investment in FinTech grows. There are three key ways data and analytics cloud services help transform the banks for the future:

  • Reimagine customer relationships
  • Help transform data into revenue
  • Help drive operational improvements within core systems

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Wiljo van Beek

Principal Architect Financial Services

Wiljo van Beek - Google

Wiljo is a Principal Architect for Financial Services at Google Cloud, focusing on driving business value with the Google Cloud Platform. Before moving to Google Cloud in January 2020, Wiljo held the position of EMEA Big Data Analytics Industry Lead for Financial Services in Oracle. Wiljo joined Oracle in May 2011, as the Global Client Advisor for ING, after a successful 20-year career at IBM. Amongst other technical and client-facing roles, Wiljo held the positions of Client Technical Advisor for some of the largest Dutch banks and insurance companies. As an IT architect, Wiljo specializes in the design and implementation of complex IT solutions. He has over 30 years of experience in enterprise architecture, system integration, application development and infrastructure design, with a main focus on the financial services industry. As a chief architect, Wiljo managed teams that were responsible for the technical accountability and control of medium to large projects. Wiljo is a Google Certified Professional Cloud Architect. During his period at IBM, Wiljo was certified as an IBM Executive Architect and Open Group Distinguished Certified IT Architect. Wiljo holds a master’s degree in computer science from the University of Twente.

Topic 2: High-Frequency Data Processing

Speaker: Diederik Greveling, ML Engineer GoDataDriven

High-frequency trading firms need to handle fast amounts of data to allow their analysts to run complex analysis jobs in a short amount of time. In this session, Diederik Greveling will share his experiences of implementing cloud-based scalable infrastructures for high-frequency trading.  You will learn about the agile approach to deploy infrastructure, how to seamlessly integrate cloud infrastructure with the on-prem stack, and security best practices. Besides the technical challenges, Diederik will also highlight organizational requirements and share lessons learned.

What You’ll Learn

After this session, you know what results to expect from specific applications of cloud technology and which GCP services are available to turn this ambition into reality.

  • Store large amounts of data on GCP using Google Cloud Storage and Bigquery
  • Leverage Dataproc to perform complex analysis in a distributed manner
  • Establish a messaging layer using Confluence Cloud
  • Orchestrate jobs provision multiple interconnects using GCP Composer
  • Provision infrastructure-as-code using Terraform

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About Diederik Greveling

Diederik Greveling - GoDataDriven

Diederik Greveling is a data scientist at GoDataDriven. He completed his Computing Science Msc degree cum laude at the University of Groningen where he specialized in machine learning and intelligent systems. He focussed his research on applying Reinforcement Learning in the automotive industry.

He is fluent in Python and Java, has a theoretical background in machine learning, and tries to tackle any data problem which crosses his path.

Clients include Heineken, Dynniq, and Webbtraders.

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AGENDA

15:00 Welcome and Introduction

15:05 Data-Driven Banking – Vision of Google Cloud on Finance.

Speaker: Wiljo van Beek, Principal Architect Financial Services Google

15:30 High-Frequency Data Processing – Implementing Cloud-Based Scalable Infrastructures for High-Frequency trading.

Speaker: Diederik Greveling, ML Engineer GoDataDriven

15:55 Q&A

16:00 End