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Smart Banking:
Real Time Driven
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Real Time Banking Today

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Account opening
Money Transfer Card locking
Balance Statement

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Account opening
Money Transfer Card locking
Balance Statement

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Account opening
Money Transfer Card locking
Balance Statement

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Account opening
Money Transfer Card locking
Balance Statement

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Account opening
Money Transfer Card locking
Balance Statement

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Banking “Innovation”

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‘No Grandma ...
listen, email is not
a scanned letter!’
Steve Jobs

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Re-think banking from ground-up

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NUMBER26
1 bank account
1 MasterCard
1 app
Our experience is designed for
real time mobile first experience
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Account opening
Open your bank account online in less than
8 minutes
… every day from 8am - midnight
… including verification checks, risk scoring,
whitelist/blacklist

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Money Transfer

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Intelligent push notifications inform you about
… successful card & bank transactions
… fraud attempts
… insufficient funds or exceeded limits
Transparency

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Block your card & report it as stolen
Set whether you want to pay abroad
… or online
… allow cash withdrawal or not
Real Time Control

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Technology

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Re-think banking from ground-up

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NUMBER26
1 bank account
1 MasterCard
1 app
Our experience is designed for
real time mobile first experience
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Account opening
Open your bank account online in less than
8 minutes
… every day from 8am - midnight
… including verification checks, risk scoring,
whitelist/blacklist

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Money Transfer

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Intelligent push notifications inform you about
… successful card & bank transactions
… fraud attempts
… insufficient funds or exceeded limits
Transparency

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Block your card & report it as stolen
Set whether you want to pay abroad
… or online
… allow cash withdrawal or not
Real Time Control

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EC2ELB
SQL
No-SQL
Lambda
Machine Learning
Event Processing

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Create smarter banking

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Identify transactions which should be linked
Clustering: Too many false positives
Vector Space Modelling allows better
grouping into logical groups
- represent each transaction as feature vector (d1, d2, q)
- Find the closest vector (lesser angle between two vectors) for
a query transaction vector (q) in terms of cosine similarity
- Similarity score quantifies the likelihood of linking multiple
transactions together

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Linking transactions

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Linking Transactions
Linking transactions helps you to keep track
of your finance
E.g. you order 10 items and return 9 of them
How can you make sure you received a
refund for all of them?

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Simplifying the financial transaction overview
You’ll see all related transactions
in just one screen
… making it easy to follow up
… and to understand your spendings
and income

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Linking transactions architecture
Async Inflow
functions for
real time linking
grouped
transactions
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Event based trigger

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Categorizing transactions

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Where did I
spend all this
money?
Person To Person
(Money Beam)
Person To Merchant
(Bank Transaction)
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Simplifying the financial transaction overview
Grouping your expenses automatically
into useful spending clusters
… making it easy to analyze
… and to understand your spendings
and income

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To Person
Use reference text
State of the art NLP techniques to
parse, tokenize, lemmatise texts to
extract sense.
Semantic sense leads to smart
categorization
Based on a lexical database and
translation engines, it is possible to
find near exact sense from the texts.
Examples:
“Yufka for 2” => Food
“Nudeln” => Food
“debit from a doctor” => Health
“Babyoel” => Children
“Taxifahrt” => Cars 33

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To Merchant
Merchants play a vital role. If you spend
money at “Vapiano”, we know instantly.
How can you teach a machine to
categorized it as “Bar and Restaurant”?
Using the Machine Learning
- Learn Model on card transactions
- Train model
- Test model on bank transactions
Tested methods to determine the
transaction category on F-1 score
- Naive Bayes 0.57
- Supported Vector Machines 0.80
- Multiclass logistic regression: 0.9
Best Result: multiclass logistic regression
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Linking and categorizing transactions
Async Inflow
machine learning for
categorizations
functions for
real time linking
grouped and
categorized
transactions
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Event based trigger

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What’s to come?

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Our Vision
Build world’s best
bank experience
in every way

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Our goals
Innovation leader
by user focus.
Building a
Smart Fintech-hub
Expansion to become the first
pan-European bank

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70 people - 20+ nationalities
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Top 25 global payment companies
-CB Insights Christian Rebernik@number26.de
Top 100 hottest European startups 2015
-Wired
Top 25 hottest German startups
-Gründerszene