Big Data, Network Analytics and Machine Learning Miami

Intensive, practical and focused training designed to provide practitioners with the latest developments, good practice methods and key skill sets needed to utilise network theory and analytics in finance.

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Big Data, Network Analytics and

Machine Learning: Practical Applications

in RegTech & SupTech

AGENDA

Intensive, practical and focused training

Central Banking and Kimmo Soramäki have designed this two-day training course to provide practitioners with the latest developments and good practice methods to utilise network theory and analytics to:

  • Identify points of systemic risk
  • Analyse risk exposures
  • Understand interconnectedness
  • Stress-test systems and players

The first day of the course covers the building blocks and essential elements used in the analysis: scenario generation and monitoring of risk exposure networks; visualisation of dynamics of market correlations; development of advanced stress testing procedures.

The second pivots towards the practical with sessions detailing applications of techniques in; payment analytics through network theory and agent-based modelling; design and oversight of financial market infrastructures; detection and investigation of financial and cyber-crime.

Throughout the course, each session features interactive hand-on exercises that will enable delegates to apply their newly acquired skills to real-life market scenarios, and conduct analysis' of data via digital dashboards provided by the tutor.

Kimmo Soamäki is the founder and CEO of Financial Network Analytics (FNA) and the founding editor-in-chief of The Journal of Network Theory in Finance. He started his career as an economist at the Bank of Finland where he developed in 1997 the first simulation model for interbank payment systems. In 2004 while at the research department of the Federal Reserve Bank of New York, Mr Soramäki was among the first to apply methods from network theory to improve our understanding of financial systems. During the financial crisis of 2007-2008 he advised several central banks, including the Bank of England and European Central Bank, in modelling interconnections and systemic risk. This work led him to found FNA in 2013 provide solutions to monitor the complex financial networks that play a continually larger role in the world around us. Mr Soramäki holds a Doctor of Science in Operations Research and a Master of Science in Economics (Finance), both from Aalto University in Helsinki.

Kimmo Soramäki

Founder and CEO

Financial Network Analytics