11
Sounds of the 80s

Banks and Machine Learning

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Page 1: Banks and Machine Learning

Sounds of the 80s

Page 2: Banks and Machine Learning

Objectives - Banks, FinTech & ML

Many roles at banks will be impacted by AI/ML

What are the opportunities and threats?

20+ years working in large European Banks (UBS, Barclays, Credit Suisse, ABN, BNP Paribas, HSBC)

Two FinTech start-ups

Working in banks has changed

Exciting

Complying

AI / ML is interesting (technology / culture)

Me

Thoughts

[email protected]

Page 3: Banks and Machine Learning

Context: Fundamental change in ROE

Page 5: Banks and Machine Learning

FinTech Everywhere$17.4 billion in investment last year alone

According to EY, a third of consumers worldwide are using two or more fintech services

CNBC - October 2017

Page 6: Banks and Machine Learning

AI/ML Everywhere (McKinsey: $26 - 39 BN investment in AI in 2016)

Page 7: Banks and Machine Learning

What impact will AI/ML have on jobs?

Who’s afraid or excited?

230,000 net jobs in Financial Services could disappear by 2025

AI will eliminate 1.8M jobs but create 2.3M by 2020

eFinancial New - March 2017

Gartner, October 2017

Page 8: Banks and Machine Learning

Prediction

5 years0

5 years0

Number of Sales staff

Number of Business Management staff

How will these roles evolve?

Page 9: Banks and Machine Learning

Less Excel and Powerpoint?

Silos of inconsistent

data…

Too many applications…

Complicated applications…

No insight - just data…

The past The future

Descriptive, Diagnostic, Predictive, Prescriptive

Strategy Relationship Management ?

Page 10: Banks and Machine Learning

Sounds of the future?

Page 11: Banks and Machine Learning

Summary - Banks, FinTech & ML

Banks’ Return on Equity has declined significantly

Banks are facing several challenges

FinTechs are developing many bank services

Billions are being invested in AI/ML

Roles involving manual analysis of data will disappear

[email protected]