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Fintech Open Mic Night - Credit Scoring

Event:
Fintech Open Mic Night - Credit Scoring
Event type:
Meetup
Category:
Topic:
Date:
04.10.2017 (wednesday)
Time:
18:00
Language:
English
Price:
Free
City:
Place:
InnVento
Address:
Kasprzaka 25
www:
Agenda:
  • 6:15pm - Doors open

Refreshments and Networking Opportunities

  • 6:45pm - Session starts

- Welcome address

Piotr Serwin & Radek Wierzbicki, Fintech Trends Organisers

- Presentations

Vladimir Alekseichenko, Architect at General Electric. A dreamer, AI enthusiast, a perfectionist in the heart and a pragmatic in the mind. A father, traveller, public speaker, trainer, podcaster at Biznes Myśli.

Filip Stachura, CEO at Appsilon Data Science. Passionate about data analysis, breathtaking visualizations and tackling hard algorithmic and analytical problems. Filip co-founded Appsilon Data Science - a company that solves data related challenges for Fortune 500 companies in various industries, including Finance, Insurance and others. Previously at Microsoft in Los Angeles.

Third speaker - to be announced

- Panel Session

An open discussion with both speakers and delegates exploring the presentations so far and the future of investment products distribution.

Moderated by:

to be announced

Joined by:

to be announced

  • 8:15pm - Closing

Shout-outs, communications and thanks

Further Networking Opportunities

  • 9:15pm - Session ends
Description:

Scoring allows a lender to deploy capital while minimising a probability of a default. Traditional credit scoring used financial history and basic info about the prospective borrower: job, address and so forth. Abundance of data fuelled by emergence of data-collecting companies opened completely new sources of information for risk managers. Advances in computing technologies fuelled development of mathematics. Optimal credit scoring model of today could use very large sets of data from variety of sources and look for relationships among previously unnoticed areas and factors. This can lead to better allocation of lending capital and greater financial inclusion, as a consequence. We invited leading machine learning thinkers and experts to share their views on scoring methodology. There will be our usual panel discussion with questions from the public, but also plenty of opportunities to network and to shout-out.

The venue, food and drinks are courtesy of PGNiG, the largest oil & gas company in Poland and sponsors of InnVento.

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