• 08:00

    REGISTRATION & LIGHT BREAKFAST

  • 09:00
    Kate Shcheglova-Goldfinch

    WELCOME NOTE

    Kate Shcheglova-Goldfinch - Senior Project Manager on FinTech Strategy - National Bank of Ukraine

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    Kate is a professional journalist with 20+ years experience who is passionate about fintech, insurtech and decentralised finance. 12 years ago she founded the Future magazine (Ukrainian media covering fintech and digital economy - futuremagazine.io). In 2017 Kate joined the team of London-based edition The Fintech Times (thefintechtimes.com) as Associated Editor and during last 3 years was a regular participant, facilitator and speaker at global fintech events.

    In November 2019 Thinkers360 she was listed in TOP50 Global Fintech Thought Leaders and in March 2020 in TOP100 Women B2B Global Fintech Thought Leaders to follow in 2020.

    For the last 15 years she was busy dealing with the insurance market, organising insurtech conferences and since 2016 observing insurtech startups and trends.

    In October 2019 she joined the Central bank of Ukraine as Senior PM for fintech strategy 2025 development and regulatory sandbox launch. She is passionate about finclusion and education. During her time in the Ukrainian Central bank she participated in launching the first mini-MBA programme on the Ukrainian market "Digital finance 4.0" focusing on open banking. She holds a MSc from London Metropolitan University (MSc in Strategic Marketing | Digital Communications).

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  • THE CURRENT REGTECH LANDSCAPE

  • 09:15
    Sian Lewin

    RegTech Landscape

    Sian Lewin - Co-Founder & Head of Client Delivery - RegTech Associates

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    Sian is an expert in financial regulation and a change management professional. With over twenty years of experience managing regulatory change for large financial institutions. She has worked with banks such as JP Morgan, UBS, HBOS and RBS to build their regulatory strength in response to new regulatory requirements, from initial scoping through to technology implementation.

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  • 09:40
    Mehrdad Mamaghani

    From Fragile to Agile: Integration and Scaling of AI Solutions Within Risk and AML

    Mehrdad Mamaghani - Head of Department, Data Science & Applied AI, Anti-Financial Crime - Swedbank

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    Data-driven and AI solutions have long been heralded as the new game changer in almost all industries. Finance is no exception. With the ever growing number of data sources, interaction points, and patterns of product usage, data science and AI must be an integral part of any business area engaged with risk management and AML. One such seamless integration requires the synchronisation of many functions and introduction of new processes and responsibilities. In this talk we will gloss over the journey at Swedbank and look ahead to a future with no shortage of exciting challenges and opportunities

    Mehrdad Mamaghani is the head of Department for Data Science at Swedbank. The Department is the bank’s Centre of Excellence for Analytics & AI and focuses mainly on financial crime and cybersecurity.

    Mehrdad has a PhD in applied mathematical statistics and has spent the last three years building data science capabilities in the bank within a wide variety of applications and business domains.

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  • 10:05
    Olivia C. Li

    AI to the Rescue: Global Sanctions Compliance

    Olivia C. Li - Head of Risk and Regulatory Compliance - CredibAI

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    AI to the Rescue: Global Sanctions Compliance

    Amid unprecedented geopolitical issues and economic setbacks, keeping pace with far-reaching yet increasingly surgical sanctions has been a top priority for financial institutions. On the one hand, a delicate balancing act is required between avoiding falling afoul of legislative restrictions and delivering friction-free customer experience. On the other, in the wake of proliferation of sophisticated technologies, international corporates are faced with the reality of ‘finding the needle in a haystack’.

    In this talk, we will explore how natural language understanding and graph analytics methods effectively transform onerous sanctions enforcement. Businesses will stay compliant through tracking and predicting regulatory initiatives, unearthing opaque and otherwise unknown crime, as well as mitigating evolving regulatory risk in a proactive manner.

    Olivia Li is Head of Risk and Regulatory Compliance at CredibAI. She has also worked at preeminent global investment banks, such as Morgan Stanley, HSBC and Citigroup, delivering regulatory mandates across multiple jurisdictions. Olivia holds a Master’s degree in English Law and Professional Legal Practice (LPC), as well as a Master of Science in Financial Computing from UCL, besides being certified in technology audit, data security and data privacy.

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  • 10:30

    COFFEE & NETWORKING BREAK

  • EXPLAINABILITY IN REGTECH

  • 11:10
    Luke Vilain

    Practical Considerations for the Application of Fairness

    Luke Vilain - Data Ethics Senior Manager - Lloyd's Banking Group

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    Principles for the development of fair machine learning systems are now widespread, however what a development team actually has to do to get things moving is often still unclear. This session will dive into some of the practical considerations surrounding the application of fairness, to give industry attendees more understanding of what their companies might do to move the needle on this topic. The practical application of fairness is a key component in moving the conversation forward around how we can use trustworthy AI to reduce compliance risk

    Key takeaways:

    What are the headwinds that a development team faces in the application of fairness? What approaches are available for structuring a fairness solution? How can you approach identifying harms and groups?

    Luke leads a team at Lloyds Banking Group who design detailed processes and reusable tooling to support use case teams in addressing fairness and explainability requirements. Prior to this he built data science focused development methodologies to support the safe and efficient creation of machine learning products

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  • 11:35
    Darko Matovski

    Taking AI out of the Black Box - it’s Future in Financial Services

    Darko Matovski - CEO - causaLens

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    This Presentation Will Cover:

    • Challenges with the status quo in machine learning
    • Regulatory considerations
    • Introduction to Causal AI

    Dr. Darko Matovski is the CEO of causaLens. The company provides automated machine learning solution for time-series predictions and serves prominent organisations including hedge funds and asset managers. Darko has also worked for cutting edge hedge funds and research institutions. For example, the National Physical Laboratory in London (where Alan Turing worked) and Man Group in London. Darko has a PhD in Machine Learning and an MBA.

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  • 12:00
    Frans van Bruggen

    Regulation of AI Risk in the Financial Sector

    Frans van Bruggen - Policy Officer Fintech & AI - Der Nederlandsche Bank

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    In the fourth industrial revolution, AI applications are implemented in many sectors and disciplines. Alongside the sketched opportunities of AI, attention for the risks surrounding AI has also been increasing. Following the dominant problem-solving perspective of supervision, regulators should be aware of the these risks to public goals, in order to effectively mitigate them. It has been clear for several years that AI will have a significant impact on the stability of the (worldwide) financial system. The Dutch Central Bank (DNB), the Dutch prudential supervisor, is supervising the public value surrounding financial stability. Therefore DNB is increasingly looking at the risks of AI. An underlying and comprehensive AI risk framework is needed, in order to make a proper risk analysis for the different sectors in the financial system.

    Frans is a Policy Officer working at DNB, is areas of focus include:

    -Artificial intelligence -Blockchain, cryptocurrencies, DeFi and CBDC -Cybersecurity -Cloud computing and data storage -FinTech and RegTech -Quantum computing

    He is also a PhD Candidate.

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  • 12:25

    LUNCH

  • GOVERNANCE & COMPLIANCE

  • 13:35
    Ansgar Koene

    AI Risk Assessment for Verification of AI Regulation Compliance

    Ansgar Koene - Senior Research Fellow at Horizon Digital Economy Research institute - University of Nottingham

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    Given the rapid growth of AI deployment, successful implementation of risk-based AI regulations will require AI risk assessments to be conducted at a scale that will be difficult to achieve without some level of automation. The need for automated AI risk assessments is further emphasised by the need to perform post-deployment monitoring.

    In his talk I will present the findings of a survey on AI risk assessment methodologies, outlining commonly identified assessment factors. Based on these survey results I will discuss key challenges and potential approaches towards automation of the AI risk assessments that will be required by risk-based AI regulations.

    Key takeaways:

    risk-based AI regulations will require large scale risk assessments of AI application; AI risk assessment involves evaluation of multiple technical and non-technical risk factors; AI can play an important role in automation of AI risk monitoring.

    Dr. Ansgar Koene is an AI Regulatory Advisor at the EY Global where he supports the AI Lab’s Policy activities on Trusted AI. He is also a Senior Research Fellow at the Horizon Institute for Digital Economy Research (University of Nottingham). Ansgar chairs the IEEE P7003 Standard for Algorithmic Bias Considerations working group, is the Bias Focus Group leader for the IEEE Ethics Certification Program for Autonomous and Intelligent Systems (ECPAIS), and a trustee for the 5Rgiths foundation for the Rights of Young People Online. Ansgar has a multi-disciplinary research background, having worked and published on topics ranging from Policy and Governance of Algorithmic Systems (AI), data-privacy, AI Ethics, AI Standards, bio-inspired Robotics, AI and Computational Neuroscience to experimental Human Behaviour/Perception studies. He holds an MSc in Electrical Engineering and a PhD in Computational Neuroscience.

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  • 14:00

    Panel: Should the Government Regulate AI?

  • Irina Velkova

    Moderator

    Irina Velkova - Senior Manager - Grant Thornton UK

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    Irina is a member of the Fintech Steering Committee at Grant Thornton and leads its Regtech proposition. Grant Thornton’s Fintech practice brings together firms developing and embracing emerging technology to help technology adopters and well established financial services institutions adapt in this rapidly changing environment. Irina specialises in governance and regulatory matters and has worked on numerous projects in the financial services space and fintech. Her role at Grant Thornton includes managing large financial services regulatory projects across banking, insurance and investment management, including designing and implementing improved clients’ structures, business processes and models; advising senior management and C-suite stakeholders on governance and regulatory matters; developing new market propositions and services that leverage current technology trends and new tech-enabled financial services solutions. Irina has graduated in Law and has a Master Degree in Corporate Law from University College London (UCL). She also holds a Diploma in English and European Law from the University of Cambridge

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  • Bojana Bellamy

    Panellist

    Bojana Bellamy - President, Centre for Information Policy Leadership - Hunton Andrews Kurth LLP

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    Senior business, legal, data policy leader and digital "diplomat", recipient of 2019 Privacy Vanguard Award, with 25 years of experience and deep expertise in global data privacy law, compliance and policy. Working with global business and technology leaders, regulators, policy and law makers to shape global data policy and practice and develop thought leadership and best practices for responsible and trusted use of data in the 4th Industrial Revolution. Proven industry record in designing strategy, building and managing data privacy programs to support business digital transformation, sustainability and growth, leverage responsible use of data for data-driven innovation, maximize market differentiation and minimize legal and reputation risks for the enterprise.

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  • Kate Shcheglova-Goldfinch

    Panellist

    Kate Shcheglova-Goldfinch - Senior Project Manager on FinTech Strategy - National Bank of Ukraine

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    Kate is a professional journalist with 20+ years experience who is passionate about fintech, insurtech and decentralised finance. 12 years ago she founded the Future magazine (Ukrainian media covering fintech and digital economy - futuremagazine.io). In 2017 Kate joined the team of London-based edition The Fintech Times (thefintechtimes.com) as Associated Editor and during last 3 years was a regular participant, facilitator and speaker at global fintech events.

    In November 2019 Thinkers360 she was listed in TOP50 Global Fintech Thought Leaders and in March 2020 in TOP100 Women B2B Global Fintech Thought Leaders to follow in 2020.

    For the last 15 years she was busy dealing with the insurance market, organising insurtech conferences and since 2016 observing insurtech startups and trends.

    In October 2019 she joined the Central bank of Ukraine as Senior PM for fintech strategy 2025 development and regulatory sandbox launch. She is passionate about finclusion and education. During her time in the Ukrainian Central bank she participated in launching the first mini-MBA programme on the Ukrainian market "Digital finance 4.0" focusing on open banking. She holds a MSc from London Metropolitan University (MSc in Strategic Marketing | Digital Communications).

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  • Ronan Brennan

    Panellist

    Ronan Brennan - Strategy and Innovation Manager - NatWest

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    Ronan is a Strategy & Innovation Manager at NatWest, with an academic background examining potential inequality outcomes from widespread “AI” adoption. He has previously helped break ground on AI Model Risk Governance, Emerging Technology Strategy, and Platform Business Models within Financial Services.

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  • 14:45

    COFFEE & NETWORKING BREAK

  • AI APPLICATIONS IN REGTECH

  • 15:25
    George Samakovitis

    Blockchain for Collective Intelligence: Decentralised Governance as new currency in RegTech

    George Samakovitis - Associate Professor - Deputy Head of School of Computing & Mathematical Sciences - University of Greenwich

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    Collaborative models in financial services regulation are often met with high scepticism, as regulators and FinTechs are most seen to sit at opposite sides of the table. Innovation, maintain the sceptics, require space to grow and regulation inadvertently raises obstacles to contain the radical uncertainty it comes with. Similarly, proponents of stricter regulation view its prohibitive capacity as necessary for protecting the very users of the financial system from abuse while instilling incentives for FinTechs to be vigilant against economic crime.

    In this session, I will discuss how any why collaborative RegTech models may deliver Collective Intelligence (defined as a set of superior insights generated by a network of collaborating nodes and not attainable by its members independently) particularly in the fields of Economic Crime, KYC and onboarding, and how the particular capability of DLTs for decentralised (and programmable) governance can be the crucial ingredient for potentially a new class of RegTech services. Academic & Industry Research & Consultancy on FinTech Payment Systems & Infrastructure; specialising on Anti-Money Laundering, Financial Transactions fraud, applications of Artificial Intelligence and Blockchain in FinTech / RegTech.

    Member of the Financial Crime Data & Security WG (UK Payments Strategy Forum) 2015-18; HMG Counter Fraud & Data Analytics Advisory Group; TOGAF Certified Enterprise Architect; Member, ACAMS (Association of Certified Anti-Money Laundering Specialists); Reviewer & Editor; Senior Fellow of the UK Higher Education Academy (SFHEA); HEA Reviewer - HEA National Teaching Fellowship Scheme Awards (NTFS) & Collaborative award for Teaching Excellence (CATE). Who is Who in Greece (2014): http://whoiswhogreece.wordpress.com/2014/02/25/samakovitis-giorgos/

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  • 15:50
    Sam Jungyun Choi

    The EU’s Proposed AI Act and Practical Considerations for Companies ​

    Sam Jungyun Choi - Associate - Covington & Burling

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    The EU’s Proposed AI Act and Practical Considerations for Companies ​

    Many jurisdictions around the world have published proposed plans and policy papers on their plans to regulate AI. The European Commission’s proposal for a regulation laying down harmonised rules on AI (the “EU AI Act”) is one of the most concrete proposals for an AI regulation available to date. In this session, we will discuss the proposed regulatory framework and some practical considerations for companies. ​

    This session will cover: ​

    • An introduction to the EU AI Act ​

    • Practical considerations for companies:​

    • Identifying “AI” systems and “high-risk” AI systems​

    • How to comply with the substantive obligations on “high-risk” AI​

    • Interplay between the EU AI

    Sam Jungyun Choi is an associate in the technology regulatory group in the London office. Her practice focuses on European data protection law and new policies and legislation relating to innovative technologies such as artificial intelligence, online platforms, digital health products and autonomous vehicles. She also advises clients on matters relating to children’s privacy and policy initiatives relating to online safety. ​ Sam advises leading technology, software and life sciences companies on a wide range of matters relating to data protection and cybersecurity issues.

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  • 16:15

    PANEL: What is the Future of AI in RegTech?

  • Mehrdad Mamaghani

    Moderator

    Mehrdad Mamaghani - Head of Department, Data Science & Applied AI, Anti-Financial Crime - Swedbank

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    Data-driven and AI solutions have long been heralded as the new game changer in almost all industries. Finance is no exception. With the ever growing number of data sources, interaction points, and patterns of product usage, data science and AI must be an integral part of any business area engaged with risk management and AML. One such seamless integration requires the synchronisation of many functions and introduction of new processes and responsibilities. In this talk we will gloss over the journey at Swedbank and look ahead to a future with no shortage of exciting challenges and opportunities

    Mehrdad Mamaghani is the head of Department for Data Science at Swedbank. The Department is the bank’s Centre of Excellence for Analytics & AI and focuses mainly on financial crime and cybersecurity.

    Mehrdad has a PhD in applied mathematical statistics and has spent the last three years building data science capabilities in the bank within a wide variety of applications and business domains.

    Twitter Linkedin
  • Luke Vilain

    Panellist

    Luke Vilain - Data Ethics Senior Manager - Lloyd's Banking Group

    Down arrow blue

    Principles for the development of fair machine learning systems are now widespread, however what a development team actually has to do to get things moving is often still unclear. This session will dive into some of the practical considerations surrounding the application of fairness, to give industry attendees more understanding of what their companies might do to move the needle on this topic. The practical application of fairness is a key component in moving the conversation forward around how we can use trustworthy AI to reduce compliance risk

    Key takeaways:

    What are the headwinds that a development team faces in the application of fairness? What approaches are available for structuring a fairness solution? How can you approach identifying harms and groups?

    Luke leads a team at Lloyds Banking Group who design detailed processes and reusable tooling to support use case teams in addressing fairness and explainability requirements. Prior to this he built data science focused development methodologies to support the safe and efficient creation of machine learning products

    Linkedin
  • George Samakovitis

    Panellist

    George Samakovitis - Associate Professor - Deputy Head of School of Computing & Mathematical Sciences - University of Greenwich

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    Collaborative models in financial services regulation are often met with high scepticism, as regulators and FinTechs are most seen to sit at opposite sides of the table. Innovation, maintain the sceptics, require space to grow and regulation inadvertently raises obstacles to contain the radical uncertainty it comes with. Similarly, proponents of stricter regulation view its prohibitive capacity as necessary for protecting the very users of the financial system from abuse while instilling incentives for FinTechs to be vigilant against economic crime.

    In this session, I will discuss how any why collaborative RegTech models may deliver Collective Intelligence (defined as a set of superior insights generated by a network of collaborating nodes and not attainable by its members independently) particularly in the fields of Economic Crime, KYC and onboarding, and how the particular capability of DLTs for decentralised (and programmable) governance can be the crucial ingredient for potentially a new class of RegTech services. Academic & Industry Research & Consultancy on FinTech Payment Systems & Infrastructure; specialising on Anti-Money Laundering, Financial Transactions fraud, applications of Artificial Intelligence and Blockchain in FinTech / RegTech.

    Member of the Financial Crime Data & Security WG (UK Payments Strategy Forum) 2015-18; HMG Counter Fraud & Data Analytics Advisory Group; TOGAF Certified Enterprise Architect; Member, ACAMS (Association of Certified Anti-Money Laundering Specialists); Reviewer & Editor; Senior Fellow of the UK Higher Education Academy (SFHEA); HEA Reviewer - HEA National Teaching Fellowship Scheme Awards (NTFS) & Collaborative award for Teaching Excellence (CATE). Who is Who in Greece (2014): http://whoiswhogreece.wordpress.com/2014/02/25/samakovitis-giorgos/

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  • 17:00

    NETWORKING RECEPTION

  • 18:00

    END OF DAY 1

  • THIS EVENT TAKES PLACE DAY ONE

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