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ACFCSVirtual Roundtable
Presented by Christian Focacci
How AI, Automation, and
RegTech are Impacting
Compliance Careers
Overview
1. How will Artificial Intelligence, automation,
FinTech and RegTech affect financial crime
compliance professionals?
How do financial crime compliance professionals
currently perform their jobs and what is likely to
change in the future?
2.
What are we talking about?
Artificial Intelligence
Branch of computer science that aims to create intelligent machines.
Machine Learning
Machine Learning is one subfield of AI.The core principle here is that machines take data
and "learn" for themselves.
FinTech (“Financial Technology”)
An industry composed of companies that use new technology and innovation with
available resources in order to compete in the marketplace of traditional financial
institutions and intermediaries in the delivery of financial services.
RegTech (“RegulatoryTechnology”)
An industry created to address regulatory challenges in the financial services sector
through innovative technology. RegTech consists of a group of companies that use
technology to help businesses comply with regulations efficiently and inexpensively.
These companies attempt to make
compliance more efficient and effective
by applying technology
These companies attempt to make
banking and moving money more
easier and client-centric
FINTECH
REGTECH
Why now!?
Growth of available data
Advances in technology
Increasing regulatory scrutiny
AI Hype vs. Reality
I’ll be back…
to clear your
alerts
What the marketing hype would have you
believe is the current state of AI
The most common tool used everyday by
financial crime professionals that utilizes
machine learning and AI
HYPE
REALITY
Example of Real World Machine Learning Application
Unstructured News Article TODAY computers can analyze
this information and:
Extract all of the people, places, and
companies named in the article
Identify the financial crime topics in
the text, this article:
Identify the likelihood that this
article is about the search focus and
relevant to financial crime
Specific ways financial institutions are
adopting new tech developments today
•Automating monotonous and repetitive tasks
•Aggregating information from multiple
sources
•Reducing false positives
•Clustering new information into relevant
groups
Myth (probably):
AI will greatly reduce
workload
How can AI, AML and automation impact
jobs?
Macro Effects Micro Effects
It depends on how well you think the
industry is doing at identifying and
reporting financial crime today.
If you think we are doing GREAT:
Reduction in jobs
If you think we are doing
NOT SO GOOD:
Same or increase in jobs
• More interaction with
technology on a daily basis
• More time spent on analysis
vs. aggregation of data
• New careers for humans to
build and maintain new tech
systems
Good News:
Fintech and Regtech
can both lead to new
career opportunities!
What skills may be required to be in-demand
in the current and near future?
•“Human” skills will become as important as
ever, i.e. analysis and the ability to understand
complex and nuanced issues
•Understanding computer coding and
development will be useful in all roles
In Summary
Humans +
Computers =
About the Presenter
Christian Focacci has over 10 years of experience in anti-money
laundering/counter-terrorist financing (AML/CFT) and sanctions compliance.
He is currently the CIO ofTransparINT, a financial crime compliance
technology firm focused on helping financial institutions better identify risk
through the use of machine learning and automation.
Prior toTransparINT,Christian worked for several of the world's largest
financial institutions, including JPMorganChase, Citi, and Bank of NewYork
Mellon. He was also the founder ofAMLSource.com, a leading career
website and job board for AML compliance professionals.
Website: http://transparint.com/
LinkedIn: https://www.linkedin.com/in/christianfocacci

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How AI, Automation, and RegTech are Impacting Compliance Careers

  • 1. ACFCSVirtual Roundtable Presented by Christian Focacci How AI, Automation, and RegTech are Impacting Compliance Careers
  • 2. Overview 1. How will Artificial Intelligence, automation, FinTech and RegTech affect financial crime compliance professionals? How do financial crime compliance professionals currently perform their jobs and what is likely to change in the future? 2.
  • 3. What are we talking about? Artificial Intelligence Branch of computer science that aims to create intelligent machines. Machine Learning Machine Learning is one subfield of AI.The core principle here is that machines take data and "learn" for themselves. FinTech (“Financial Technology”) An industry composed of companies that use new technology and innovation with available resources in order to compete in the marketplace of traditional financial institutions and intermediaries in the delivery of financial services. RegTech (“RegulatoryTechnology”) An industry created to address regulatory challenges in the financial services sector through innovative technology. RegTech consists of a group of companies that use technology to help businesses comply with regulations efficiently and inexpensively.
  • 4. These companies attempt to make compliance more efficient and effective by applying technology These companies attempt to make banking and moving money more easier and client-centric FINTECH REGTECH
  • 5. Why now!? Growth of available data Advances in technology Increasing regulatory scrutiny
  • 6. AI Hype vs. Reality I’ll be back… to clear your alerts What the marketing hype would have you believe is the current state of AI The most common tool used everyday by financial crime professionals that utilizes machine learning and AI HYPE REALITY
  • 7. Example of Real World Machine Learning Application Unstructured News Article TODAY computers can analyze this information and: Extract all of the people, places, and companies named in the article Identify the financial crime topics in the text, this article: Identify the likelihood that this article is about the search focus and relevant to financial crime
  • 8. Specific ways financial institutions are adopting new tech developments today •Automating monotonous and repetitive tasks •Aggregating information from multiple sources •Reducing false positives •Clustering new information into relevant groups
  • 9. Myth (probably): AI will greatly reduce workload
  • 10. How can AI, AML and automation impact jobs? Macro Effects Micro Effects It depends on how well you think the industry is doing at identifying and reporting financial crime today. If you think we are doing GREAT: Reduction in jobs If you think we are doing NOT SO GOOD: Same or increase in jobs • More interaction with technology on a daily basis • More time spent on analysis vs. aggregation of data • New careers for humans to build and maintain new tech systems
  • 11. Good News: Fintech and Regtech can both lead to new career opportunities!
  • 12. What skills may be required to be in-demand in the current and near future? •“Human” skills will become as important as ever, i.e. analysis and the ability to understand complex and nuanced issues •Understanding computer coding and development will be useful in all roles
  • 14. About the Presenter Christian Focacci has over 10 years of experience in anti-money laundering/counter-terrorist financing (AML/CFT) and sanctions compliance. He is currently the CIO ofTransparINT, a financial crime compliance technology firm focused on helping financial institutions better identify risk through the use of machine learning and automation. Prior toTransparINT,Christian worked for several of the world's largest financial institutions, including JPMorganChase, Citi, and Bank of NewYork Mellon. He was also the founder ofAMLSource.com, a leading career website and job board for AML compliance professionals. Website: http://transparint.com/ LinkedIn: https://www.linkedin.com/in/christianfocacci