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Event Date |
Wed Feb 19 GMT - Fri Feb 21 GMT (almost 5 years ago)
In your timezone (EST): Wed Feb 19 12:00pm - Fri Feb 21 12:00pm |
Location |
TBA
London, UK |
Region | EMEA |
Drive data engineering and mining initiatives to build an entire ecosystem of quality data for trade and risk in the financial market
Why You Should Attend?
As the volumes of data held by financial institutions increase, so too does the importance of data analytics. The role of data mining within financial institutions has seen a dramatic increase in recent years which shows signs of steadily continuing. Establishing the best practices to facilitate mining and engineering efforts to make your data work for you will be pivotal in ensuring that your institution is the most profitable it can be. With the improvement of data culture and the prevalence of centralised data comes the issues of dirty or noisy data, heterogeneity and the possibility for anomalies, alongside this we are seeing a marked increase in the use of legacy data and external data vendors. These offer some of the biggest challenges for data mining and engineering within financial institutions, but also present the best opportunities for improvement and optimisation. Meeting these challenges and understanding the best way to navigate them could present yet further opportunities to improve your use of data and so increase your overall profitability.
Key Topics:
• Embed data mining with quality efforts through the use of a central data repository in the financial risk and trading floor
• Build synthetic risk and trading data using data engineering to supplement historical and alternative data in financial markets
• See how data mining and engineering initiatives have driven machine learning capabilities for quantitative analytics in finance
• Apply data visualisation techniques to deduce the usefulness of data in the risk and trading department of financial firms
2020 Speakers
Ivailo Sokolov
Head of Data Engineering & Regtech, BAWAG P.S.K
Sladjan Kutijevac
Head of Data Engineering, Citi - Ireland
Yudhvir Seetharam
Head of Analytics, FNB
Dominik Kalisch
Chief Analytics officer, Nord LB
Karthik Rajaraman
Product owner - Trade Data, Lloyds Banking
2020 Sponsors and Partners
SPONSOR:
• SESAMm
PARTNERS:
• BDAN
• eFinancial Careers
• Analytics Insight
• Data Floq
• News Affinity
• Digitalisation World