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1
AI based Surveillance Solutions
for the Financial Industry
Cristina Soviany, PhD
CEO
Digital Finance Summit 2019
Brussels, November 27th
2
Analysing high volumes of 3D ultrasound data
Identifying with high sensitivity and specificity any abnormal tissue in the organ
Providing an accurate diagnostics to the patient
From Fighting Cancer to Fighting Fraud
3
Transaction Scoring
for AML
Transaction Scoring for
Fraud Detection/Prevention
Trading Surveillance
FX/Equities/FI/Cross-Instrument
Working with top Tier 1 investment banks and market infrastructures
Selected by M12 (Microsoft Ventures) in top 10 women-led technology companies (Nov 2018)
Part of Microsoft scale-up accelerator in London (May 2019)
Selected by Aite among the most innovative Trade and Market Surveillance solutions for 2020 and Beyond (Oct 2019)
AI Platform and Surveillance Solutions
for Financial Crime Detection
4
ChallengesThe market calls for a solution
“The fines will only get bigger
and bigger”
“Huge volumes of false alerts that
miss suspicious cases”
“Our internal compliance team has
grown dramatically”
“It’s always the authorities’ priority to
maintain a stable market”
”
Market Surveillance Challenges
Market Abuse Regulations require surveillance and reporting of any suspicious behavior
Heavy penalties
The Drivers are Regulation and Internal Compliance
Rigid rules or fixed
models that cannot
detect the “unknown”
Maintenance difficult
Optimization impossible
High volumes of
False Positives
High cost
Increased risk of
penalties
5
Unique Capabilities
Produces Intelligent Insights in the data, evolves with market activity
Measures and describes normal behaviour, accurately reports abnormal events
” Detects any suspicious
behavior
UNBIASED
Dramatic reduction of
cost and risk
EFFECTIVE EXPLAINABLE
Produces Intelligent
Insights and Reasons-why
Instantly evolves with
market activity
No parameters or rules to
be set
DYNAMIC PARAMETER-FREE
6
Trading Surveillance Platform
(FX, Eq, FI, Cross-Instrument)
Patented and fully scalable technology
MADE
Multivariate
Anomaly Detection
Engine
• Scenario
unbiased
• Dynamic
thresholding and
time window
IAT
Intelligent
Assistant Tool /
Case
Management
• Score and
Reasons-why
• Automatic
reporting
N-dim
New Data Space
FM
Feature Machine
• Parameter-free
data transform
• Parameter-free
alert unit
definition
Transaction data
• File
• Database
• Big data
(Hadoop/Spark)
Data Adapter
Granularity
Asset Class
Integration on premise
Configuration on cloud
eyeDES Solution in Production
7
• AI solution that evolves in real-time with the market activity
– Reduces the cost of compliance with more than 90%
– Minimizes the risk of penalties (detects previously unknown
patterns)
– Parameter-free / easy to maintain
– Scalable (ex: ~80 Bln. messages per day)
• Automatic case report generation (with explanations)
• Reduces the current investigation time/case
• Increases operational efficiency
Benefits eyeDES Trading Surveillance
8
Trading
Surveillance
Platform
9
Real stock market data
Entire activity (mid price + any desired level in the book) in the stock during the day
Order book (the listing of all open, non matched limit orders) for the alerted account
Net position in that stock for the alerted account
eyeDES can find suspicious patterns without needing any parameters to be chosen by
the user (such as length of action in time, number of shares involved, size of the
imbalance).
Spoofing case detected:
• This account places a single order deep in the book on one side, the "intended side",
[bid side in blue], followed by a pattern of more numerous orders on the other side,
the "spoof side" [ask side in red].
• This ramping up of activity takes place and causes the market participants in the
front of the queue on the intended side to remove their orders. This allows the
spoofer to execute his initial order [yellow triangle]. Once that is done, the spoofer
stops its spoofing activity (done at once or in batch, to prevent detection [green
triangles]).
Spoofing case on Equities
10
Our Passionate Team
Co-founder & CEO
(Advanced Medical Diagnostics,
Philips Applied Technologies)
Richard Mener, MBA
Co-founder & Chairman
(Division President
Colgate Palmolive, Solvay ULB)
Fabian Vandenreydt
Advisory Board Member
Partner at Motive
(B-Hive, Swift, Innotribe, JP
Morgan,
Euroclear)
Ludovic Desmet, MSc
Project Manager
(Smals, MasterCard)
Benoit Socias, MSc
Chief Solution Architect
(Isabel, MasterCard)
Marco Carnini, PhD
Solution Expert
(Univ. Mainz,
Politecnico di Milano)
Gianluca Frasso, PhD Kaveh Vakili, PhD Razvan Nicolescu, BSc
Solution expert
(Univ. de Liege,
Univ. Cath. de Louvain)
Solution expert
(GSA Capital, KU Leuven)
Full Stack Developer
(KU Leuven)
Cristina Soviany, PhD
Incorporated in Belgium in 2014
eyeDES® AI Technology &
Platform developed since 2012
European prize for best IT start-up
Walloon Region R&D support
Featured by Aite and Gartner
Selected by M12 (Microsoft Ventures) among the top ten women-led companies in Enterprise Tech
Part of Microsoft Scaleup accelerator (London)
11
@featuresanalytx
cristina.soviany@features-analytics.com
cristina.soviany
Cristina Soviany
+32 472 067 891

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Crisitina solvany features_analytics

  • 1. 1 AI based Surveillance Solutions for the Financial Industry Cristina Soviany, PhD CEO Digital Finance Summit 2019 Brussels, November 27th
  • 2. 2 Analysing high volumes of 3D ultrasound data Identifying with high sensitivity and specificity any abnormal tissue in the organ Providing an accurate diagnostics to the patient From Fighting Cancer to Fighting Fraud
  • 3. 3 Transaction Scoring for AML Transaction Scoring for Fraud Detection/Prevention Trading Surveillance FX/Equities/FI/Cross-Instrument Working with top Tier 1 investment banks and market infrastructures Selected by M12 (Microsoft Ventures) in top 10 women-led technology companies (Nov 2018) Part of Microsoft scale-up accelerator in London (May 2019) Selected by Aite among the most innovative Trade and Market Surveillance solutions for 2020 and Beyond (Oct 2019) AI Platform and Surveillance Solutions for Financial Crime Detection
  • 4. 4 ChallengesThe market calls for a solution “The fines will only get bigger and bigger” “Huge volumes of false alerts that miss suspicious cases” “Our internal compliance team has grown dramatically” “It’s always the authorities’ priority to maintain a stable market” ” Market Surveillance Challenges Market Abuse Regulations require surveillance and reporting of any suspicious behavior Heavy penalties The Drivers are Regulation and Internal Compliance Rigid rules or fixed models that cannot detect the “unknown” Maintenance difficult Optimization impossible High volumes of False Positives High cost Increased risk of penalties
  • 5. 5 Unique Capabilities Produces Intelligent Insights in the data, evolves with market activity Measures and describes normal behaviour, accurately reports abnormal events ” Detects any suspicious behavior UNBIASED Dramatic reduction of cost and risk EFFECTIVE EXPLAINABLE Produces Intelligent Insights and Reasons-why Instantly evolves with market activity No parameters or rules to be set DYNAMIC PARAMETER-FREE
  • 6. 6 Trading Surveillance Platform (FX, Eq, FI, Cross-Instrument) Patented and fully scalable technology MADE Multivariate Anomaly Detection Engine • Scenario unbiased • Dynamic thresholding and time window IAT Intelligent Assistant Tool / Case Management • Score and Reasons-why • Automatic reporting N-dim New Data Space FM Feature Machine • Parameter-free data transform • Parameter-free alert unit definition Transaction data • File • Database • Big data (Hadoop/Spark) Data Adapter Granularity Asset Class Integration on premise Configuration on cloud eyeDES Solution in Production
  • 7. 7 • AI solution that evolves in real-time with the market activity – Reduces the cost of compliance with more than 90% – Minimizes the risk of penalties (detects previously unknown patterns) – Parameter-free / easy to maintain – Scalable (ex: ~80 Bln. messages per day) • Automatic case report generation (with explanations) • Reduces the current investigation time/case • Increases operational efficiency Benefits eyeDES Trading Surveillance
  • 9. 9 Real stock market data Entire activity (mid price + any desired level in the book) in the stock during the day Order book (the listing of all open, non matched limit orders) for the alerted account Net position in that stock for the alerted account eyeDES can find suspicious patterns without needing any parameters to be chosen by the user (such as length of action in time, number of shares involved, size of the imbalance). Spoofing case detected: • This account places a single order deep in the book on one side, the "intended side", [bid side in blue], followed by a pattern of more numerous orders on the other side, the "spoof side" [ask side in red]. • This ramping up of activity takes place and causes the market participants in the front of the queue on the intended side to remove their orders. This allows the spoofer to execute his initial order [yellow triangle]. Once that is done, the spoofer stops its spoofing activity (done at once or in batch, to prevent detection [green triangles]). Spoofing case on Equities
  • 10. 10 Our Passionate Team Co-founder & CEO (Advanced Medical Diagnostics, Philips Applied Technologies) Richard Mener, MBA Co-founder & Chairman (Division President Colgate Palmolive, Solvay ULB) Fabian Vandenreydt Advisory Board Member Partner at Motive (B-Hive, Swift, Innotribe, JP Morgan, Euroclear) Ludovic Desmet, MSc Project Manager (Smals, MasterCard) Benoit Socias, MSc Chief Solution Architect (Isabel, MasterCard) Marco Carnini, PhD Solution Expert (Univ. Mainz, Politecnico di Milano) Gianluca Frasso, PhD Kaveh Vakili, PhD Razvan Nicolescu, BSc Solution expert (Univ. de Liege, Univ. Cath. de Louvain) Solution expert (GSA Capital, KU Leuven) Full Stack Developer (KU Leuven) Cristina Soviany, PhD Incorporated in Belgium in 2014 eyeDES® AI Technology & Platform developed since 2012 European prize for best IT start-up Walloon Region R&D support Featured by Aite and Gartner Selected by M12 (Microsoft Ventures) among the top ten women-led companies in Enterprise Tech Part of Microsoft Scaleup accelerator (London)