• 08:00

    REGISTRATION & LIGHT BREAKFAST

  • 09:00
    Dupe Witherick

    WELCOME NOTE

    Dupe Witherick - Head of Automation - JP Morgan

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    Dupe Witherick is the Head of Automation at JP Morgan. She has extensive experience of large scale national and global Intelligent Automation advisory programmes and has been in the Intelligent Automation space for seven years having led the first Automation Project in Deloitte Consulting. Her current role is to drive transformation through intelligent automation with the ultimate purpose of making working lives better for employees and customers. Dupe has written Intelligent Automation (IA) articles, been part of IA podcasts and presented IA at external events, discussion forums and summits in the UK and internationally. She is also passionate about diversity & inclusion and coaches and mentors individuals to help them reach their full potential.

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  • 09:15
    Vilmos Lorincz

    AI and Data in Financial Services – The Next Chapter

    Vilmos Lorincz - Managing Director Data & Digital Products, Commercial Banking - Lloyd's Banking

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    This presentation will look into the next chapter of AI in Financial services, where there's space for innovation and how to streamline your digital transformation.

    Vilmos is responsible to setting and delivering strategy, driving transformation and creating new products and partnerships. Vilmos has been successful in the UK, Asia, Central Eastern Europe and the Nordics. Specialties: strategy, business development, consultancy, data, digital, banking

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  • 09:40
    Sandeep Basak

    Stopping Fraud in its Tracks with AI

    Sandeep Basak - AI Lead for EMEA - H2O.AI

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    Detecting and preventing fraud is a huge challenge for banks given the large variety of fraud types and the volume of transactions that need to be reviewed and manual or rules-based systems can’t keep up. Learn more about how H2O.ai can help the Financial Services industry with their Fraud challenges

    Sandeep is the AI Lead for EMEA at H2O.ai. He has over 15 years experience in data science and machine learning in various industries including financial services, management consulting, CPG and manufacturing working across clients in the US/Europe/Asia. Sandeep has a double Masters in Machine Learning and Statistics. He is also a Fellow of the Institute and Faculty of Actuaries, UK.

  • 10:05
    Francois Mercier

    Changing Legacy Mindsets Around AI in Finance

    Francois Mercier - Senior Data Scientist-VP - Citi

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    Artificial Intelligence (AI) have made significant progress on different domains, from computer vision, to sentiment analysis and games. During this presentation, I will go back to the fundamental differences of AI in finance compared to AI on generic domains. These differences explain why it’s more complicated to apply machine learning in finance. I will finish by proposing some principles to ease these challenges.

    Francois Mercier is a data scientist – VP at Citi. He previously worked for the Quebec financial regulator, Autorite des Marches Financiers, as the manager of the Fintech Lab in Montreal (Canada). Before Canada, he had different positions at BNP Paribas in London (UK) on commodity derivatives markets. Francois holds an MSc in Machine Learning from Mila Research Institute / University of Montreal and a Master in Software Engineering from EPITA. He is also a CFA charterholder.

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  • 10:30

    COFFEE & NETWORKING BREAK

  • 11:10
    Tom Farrand

    The Future of Financial Services - Enabling Competitive Advantage through MLOps

    Tom Farrand - Head of Solutions Engineering - Seldon

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    We believe machine learning will soon be at the core of every connected business, and it is our mission to deliver industry-leading machine learning deployment and continue to make our mark in the MLOps space.

    Whilst AI will inevitably lead to disruption across industries, we believe that AI is a force for good and beneficial change and a better world. We’re focused on working with companies looking to shape the future through harnessing ML.

    Tom Farrand leads the Solutions Engineering team at Seldon, where he knits client needs with Seldon's deployment capabilities to help clients realise the potential of ML. Previously, he was the lead Machine Learning Engineer for the UKI Systems AI team at IBM. Tom has a Master's degree in Chemical Engineering from the University of Bath

  • 11:35
    Joel Suss

    Towards a Comprehensive Model of Bank Risk

    Joel Suss - Research Data Scientist - Bank of England

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    Predictive models of bank risk have proliferated in recent years with the advent of modern machine learning methodologies and capabilities. While the focus has been on methodological and algorithmic innovation to drive improved performance, less attention has been paid to the range of data used to build these models, with scholars largely using financial information derived from balance sheets and financial statements. In this research, I demonstrate improved performance by expanding the variable set to include information that is known by bank supervisors to be important for identifying risk but has not yet been included in model builds –- namely, non-financial data which speaks to a bank’s organisational culture, the quality of its management and governance, and operational resilience.

    Dr Joel H. Suss is a Research Data Scientist at the Bank of England. He obtained his PhD from the London School of Economics, Department of Psychological and Behavioural Science. His research applies advanced quantitative methodologies to pressing public policy issues, covering financial regulation and economic inequality amongst other topics.

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  • 12:00
    Angel Serrano

    Responses to AI

    Angel Serrano - Head of Data Science - Santander UK

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    In 2018, 10 questions were put to the audience about how organizations are using data and analytics and concerns about the possible changes that may arise. These same 10 questions were asked of respondents four years ago at a similar event. While it was acknowledged that some of those questions may be outdated, organizers decided to ask the same questions to accurately assess progress.

    Angel is currently running the Data Science team at Santander UK. Previously he was 13 years working at PwC where he built and led one of the data and analytics teams, providing analytics, data science and business intelligence solutions for financial services clients. His background also includes IT risk, architecture and data security management. Angel is MBA, CISA, CISM and CRISK.

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  • 12:25

    LUNCH

  • 13:35
    Stephen Moody

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

    Stephen Moody - GM Causal AI for Banking - CausaLens

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

    Creating a world in which humans can trust machines with the greatest challenges in the economy, society and healthcare.

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  • 14:05
    Adam McMurchie

    Mechanizing Intelligence

    Adam McMurchie - Lead Cloud Data Engineer - NatWest

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    Five years ago Adam talked here at ReWork on the future of AI in banking, he laid out a roadmap of things to come - previewing China’s Smile to Pay (which shortly after ballooned to 400 million users), smart contracts, personalised banking and other initiatives that have come to fruition. That said, Adam had also warned on the grave consequences of failure and significant challenges to arise both practical and regulatory which closely describes the state of quagmire we now find ourselves in.

    From Alexa telling a 10-year old girl to touch a live plug with a penny, to regulatory breaches such as Uber test driving autonomous cars without state permission, running 6 red lights as a result.

    Finance hasn’t been spared the controversy either, with multiple institutions losing significant wealth from poorly deployed AI, to colossal investment wastage by backing the wrong AI sectors.

    In this talk Adam will share key insights & learnings on how organisations can better traverse these pitfalls by designing, building and deploying finance driven AI that is both sustainable and cost effective. He will also layout key milestones to enable future proofing imminent threats of supply chain failures and global talent shortages so that we can navigate the next five years of AI in finance with confidence.

    Adam McMurchie is the Lead Cloud Data Engineer at NatWest. He was previously the leader in Devops and an A.I expert working in the banks SAO platform on the forefront of technology development in finance. With a broad exposure to a range of technologies, Adam drives an ethos of simplification, cloud agnosticism and specialises in spotting the next trends in fin tech. Additionally, Adam also has a background in science with a physics degree specialising in NeuroComputing and is a polyglot linguist & seasoned translator. Adam has pooled these skills to deliver full stack novel solutions from tensor flow driven mobile apps, to personalized banking chatbots. Adam also develops apps designed around the ethos of Social Utility, including Flood/Storm reporting, EV Vehicle bay monitoring and preservation of endangered languages.

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  • 14:40

    COFFEE & NETWORKING BREAK

  • 15:25
    Liran Hason

    Responsible AI in Finance

    Liran Hason - CEO - Aporia

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    How can we leverage our AI to make business-critical decisions while ensuring it is used responsibly and ethically? To build trust in AI and ensure positive outcomes, it is time to move beyond defining Responsible AI and begin putting these principles into practice. In this session, Liran will discuss how financial institutions can reap the rewards of AI while remaining compliant and fair for their customers and society.

    Liran Hason is the Co-Founder and CEO of Aporia, a full-stack ML observability platform that empowers businesses to trust their AI and use it responsibly. Prior to founding Aporia, Liran was an ML Architect at Microsoft-acquired Adallom, and later an investor at Vertex Ventures. Liran created Aporia after seeing first-hand the effects of AI without guardrails.

  • 15:50
    Stefan Zohren

    Multi-horizon Forecasting for Limit Order Books Inspired by Machine Translation Algorithms

    Stefan Zohren - Associate Professor (Research) - University of Oxford

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    Multi-horizon Forecasting for Limit Order Books Inspired by Machine Translation Algorithms

    We motivate the use of deep learning methods from image analysis and natural language processing applied to the problem of forecasting financial time-series. We extend these methods with state-of-the-art techniques from machine translation and thereby propose a novel multi-horizon forecasting model for limit order book data. Our empirical findings demonstrate that this new models outperforms existing methods significantly, however it is computationally expensive. We overcome this computational bottleneck by employing cutting-edge hardware accelerators called an Intelligence Processing Unit (IPU) and benchmark those against Graphical Processing Units (GPUs) - the enabling technology that underpins the Deep Learning revolution of the last decade.

    Stefan Zohren is the Deputy Director of the Oxford-Man Institute of Quantitative Finance and an Associate Professor at the Department of Engineering Science at the University of Oxford. He is a Fellow of the Turing Institute, the UK’s national institute for AI and data science. Stefan’s research is focused on machine learning in finance, including deep learning, reinforcement learning, network and NLP approaches, as well as early use cases of quantum computing. Outside of academia, he works with Man Group on commercial research projects. Stefan is a frequent speaker on AI in finance representing the Oxford-Man Institute at academic conferences, as well as industry panels and corporate events. His work has been covered in the financial news such as Bloomberg News and Risk.

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  • 16:15

    PANEL: Successful Banks of the Future - Finding the Right Balance

  • Angel Serrano

    Moderator

    Angel Serrano - Head of Data Science - Santander UK

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    In 2018, 10 questions were put to the audience about how organizations are using data and analytics and concerns about the possible changes that may arise. These same 10 questions were asked of respondents four years ago at a similar event. While it was acknowledged that some of those questions may be outdated, organizers decided to ask the same questions to accurately assess progress.

    Angel is currently running the Data Science team at Santander UK. Previously he was 13 years working at PwC where he built and led one of the data and analytics teams, providing analytics, data science and business intelligence solutions for financial services clients. His background also includes IT risk, architecture and data security management. Angel is MBA, CISA, CISM and CRISK.

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  • Bhavishya Ramchander

    Panellist

    Bhavishya Ramchander - AVP - Data & BI - J P Morgan

  • Leon Saunders Calvert

    Panellist

    Leon Saunders Calvert - Head of Research & Portfolio Analytics - LSEG

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    Executive leader across asset management, sustainable investing and corporate finance data and workflow tools with an MSc in International Management. A driver of strategy and innovation, developing intelligent content and workflow solutions for the institutional investor and dealmaking community with a proven success record in guiding people and projects to achieve company goals and facilitate expansion objectives.

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  • Aymeric Larrue

    Panellist

    Aymeric Larrue - Head of Data Science - Nationwide

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    A Data Science Leader with a large spectrum of technical and strategic experience and skills, ranging from deploying full-scale, real time, production services to delivering strategic business insights to senior stakeholders, defining entreprise data roadmaps and building large scale platforms. Strong believer that the world needs to be data-driven.

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  • John Ashley

    Panellist

    John Ashley - General Manager, Financial Services and Technology - NVIDIA

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    John leads the global Financial Services and Technology business at NVIDIA. Their teams work with customers around the globe to bring accelerated computing solutions to bear on their most challenging problems.

    NVIDIA's Financial Services and Technology team includes quants, data scientists, and IT leaders who worked for banks and trading firms. The local team is the tip of the global spear; backed by the full spectrum of NVIDIA resources and technologies – always brought to bear through an industry lens. They bring unique value to their strategic financial services customers at every level of the organization, making your AI strategy and partnerships better.

  • 17:00

    NETWORKING RECEPTION

  • 18:00

    END OF DAY 1

  • 08:00

    DOORS OPEN FOR DAY 2

  • 09:00
    Susana Ponce-Froment

    WELCOME NOTE

    Susana Ponce-Froment - Head of Financial & Credit Risk - Tide

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    High-performance and innovative fintech and banking leader. 17 years of banking experience, in Canada and abroad, in credit risk management, business & products development, credit risk modelling, credit admin and banking supervision in the private and governmental financial sector.

    Lending subject matter expert with proven experience in developing multi-country business expansion strategies and strong partnerships with local business lines and risk areas in 29 countries. Expert in structuring innovative financial solutions to achieve double-digit growth in multi-billion dollar lending portfolios. Credit risk manager of multi-billion dollar, cross-border Corporate & Commercial credit portfolios.

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  • 09:15
    Alexander Denev

    How AI Can Disrupt a Traditional & Established Domain: AI for Macroeconomic & Financial Forecasting

    Alexander Denev - Lecturer in Mathematical Finance - University of Oxford

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    1) Economic forecasting and planning has been benefiting from long established and well-tested methods and techniques. However, the toolkit that ML&AI offers can greatly augment our understanding of the field.

    2) The potential of Alternative Data is finally unlocked in our age thanks to the ability of ML&AI to extract novel features - something impossible a decade ago

    3) The importance of improving macroeconomic & financial forecasting has enormous social benefits

    Alexander is a Quant & Data Scientist with 20 years of accumulated experience both in specialist and leadership positions in financial institutions in London and across Europe.

    He has managed Quant & Data Scientists teams (40+ people), but also occupied niche and specialist positions, spanning from front office to risk management. Mastering the main AI/ML techniques, he is also strictly specialized and personally contributed to the field of Probabilistic Graphical Models, Causal AI and Alternative Data. Alexander has authored/co-authored 10+ papers and 3 books on these topics.

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  • 09:40
    Ryan Taylor

    The Data Platform for AI in Financial Services

    Ryan Taylor - Senior Director EMEA - WEKA

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    Financial organisations are now applying predictive models for deeper insights and risk mitigation. Success is measured by the fast execution of algorithmic and deep learning model results. WEKA is used by leading quantitative trading companies and tier 1 banks, who are constantly seeking to gain a competitive advantage, improve trading outcomes and transform their operations into a hybrid model that leverages the benefits of on prem & multi-cloud architecture. Financial analytics requires a modern storage architecture that can handle the most demanding I/O intensive workloads and latency-sensitive applications at scale. WEKA has repeatedly demonstrated record-breaking performance on STAC M3 benchmarks using kdb+ time-series database, both on premise and in the cloud.

    Join Ryan Taylor, Sr Director EMEA as he introduces the WEKA data platform, discussing how it delivers the highest performance to large-scale CPU and GPU-based computing, enabling the delivery of real-time analytical insights that account for fast-changing market dynamics

  • 09:55
    Helen Byrne

    Accelerating AI R&D in Finance

    Helen Byrne - Field Applications Engineer - Graphcore

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    Accelerate your AI Financial Modelling with IPU

    In the finance sector, the potential for innovation with advanced machine intelligence is significant. But often, new and complex models are not being fully leveraged due to latency issues and compute restraints. Enter the IPU – a completely new processing architecture designed for machine intelligence, capable of running advanced financial models up to 26x faster. Helen Byrne from Graphcore explains how the IPU’s unique architecture can power such incredible breakthroughs – and what this means for the future of finance and trading.

    Key Takeaways: • Innovation in financial modelling is possible with AI • We need a new processor (the IPU) to do this • We can achieve 26X speedup on real models.

    Helen joined Graphcore in July 2018 as an AI Research Engineer focussed on distributed learning in large-scale machines, before moving to her current role working on customer applications on Graphcore IPUs. She has a BSc in Mathematics and a Master’s degree in Artificial Intelligence. Before joining Graphcore, she was a Maths teacher and worked at an Investment Banking FinTech.

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  • 10:20

    COFFEE & NETWORKING BREAK

  • 11:05
    Javier Campos

    Scaling AI in the Enterprise: Best Practices and Lessons Learned for the Financial Industry

    Javier Campos - Head of Data Labs - Experian

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    Scaling AI in the Enterprise: Best Practices and Lessons Learned for the Financial Industry

    Over $77 billion has been invested in AI by companies around the world in the last year alone. But two in every three of those companies are yet to generate any tangible value. And of those companies that have turned the corner, almost half are still at the sub-scale level. The good news is that the value is not elusive. Companies such as Google and Amazon generate over 50 percent of their profits using AI. How can your company crack the code to conquer those AI riches especially now we seem to heading for a slowing economy with high inflation?

    Javier Campos is the Head of the Experian DataLabs for UK&I and EMEA. He oversees innovation with emphasis on the development of new Data-driven products and services. Pioneering application of Artificial Intelligence in mobile, voice, fraud, credit, marketing, social media, digital advertising and healthcare. Javier is also a permanent member of the Bank of England & FCA Artificial Intelligence Public-Private Forum, an industry group created to accelerate AI adoption within the Finance industry. He is a frequent speaker at industry conferences. Javier has 28+ years’ experience globally within the Finance, AI, Market Research, Media and Technology fields including serving at Global Chief Technology Officer at Kantar-WPP, Havas Media and CIO at GroupM-WPP.​

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  • 11:30

    PANEL: What Can Be Done to Fight Financial Crimes?

  • Graham Barrow

    Panellist

    Graham Barrow - Director - The Dark Money Files

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    Graham has worked in senior roles across Global Banking, Markets, Corporate, Private, Retail and Wealth Management.

    The fundamental ability he brought to all these roles was a deep understanding of the underpinning regulations, legislation, guidance and best practice case studies to ensure that all proposed controls, policies and procedures were based on first principles rather than received wisdom.

    Graham has worked in locations across the world including London, Hong Kong, Singapore, Delhi, Mumbai,Bangalore, Zurich, Berne, Geneva, Gibraltar, Monaco, Guernsey, Jersey, Isle of Man, Cayman Islands, Mexico and Istanbul. He has been closely involved in two Systematic AML Programmes (SAMLPs) and has made major contributions to developing effective policy within Wealth, Private Banking, Correspondent Banking and Trade Finance.

    He brings highly developed communication skills to everything he does as well as a keen awareness for the need for bespoke and effective coaching and development within the Financial Crime specialisms.He has an excellent working knowledge of TACT 2000, POCA 2002, MLR 2007, FSMA, SYSC, Wolfsberg, JMLSG (parts I and II) and an abundance of research papers.

    Graham has a deep understanding of the worldwide Financial Crime/AML landscape which enables him to bring enormous value to the formulation of meaningful Financial Crime controls as well as huge experience in the design and implementation of an effective global implementation plan.

    Graham brings specialist knowledge of the FCA's Systematic AML Programme having been deeply involved with two recent SAMLPs.

  • Jeremy Annis

    Panellist

    Jeremy Annis - CEO - RipJar

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    Jeremy is a former intelligence professional and data scientist with the British government’s signals intelligence agency, GCHQ. He has extensive experience in complex analysis and visualisation of large, structured and unstructured data sets to generate critical insights for national security and the detection of serious crimes.

  • Frans van Bruggen

    Panellist

    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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  • 12:20

    LUNCH

  • 13:30
    Himanshu Chaturvedi

    Detecting Financial Fraud At Scale

    Himanshu Chaturvedi - Senior Data Scientist - Nationwide

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    A look into how you can deploy the right platforms to avoid financial crimes at scale, including fraud and anti-money laundering techniques.

    Himanshu is a Senior Data Scientist at Nationwide. He is a data-driven, business-savvy advanced analytics professional with 12 years of experience in statistical modeling/data analytics in Marketing, Customer Service, Risk management, Product in the Internet, Banking & Retail Domain. He has a proven track record to effectively communicate with senior leadership about data products, results and recommend actions

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  • 14:00
    Dan Dixon

    Against the Backdrop of High Expectations and Hype around Natural Language Advancements

    Dan Dixon - Business Finance Change Delivery Programme Lead - HSBC

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    This presentation will cover how you can streamline your report writing processes using Natural Language Processing.

    Dan is Change Delivery lead for Business Finance Data & Systems transformation programme, responsible for delivery of Planning and Business Finance Stress Testing programmes and managing the Decision Support Book of Work, delivering enhancements to internal MI systems and processes.

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  • 14:25
    Susana Ponce-Froment

    DeFi Ecosystem and its Impact in the Financial System

    Susana Ponce-Froment - Head of Financial & Credit Risk - Tide

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    High-performance and innovative fintech and banking leader. 17 years of banking experience, in Canada and abroad, in credit risk management, business & products development, credit risk modelling, credit admin and banking supervision in the private and governmental financial sector.

    Lending subject matter expert with proven experience in developing multi-country business expansion strategies and strong partnerships with local business lines and risk areas in 29 countries. Expert in structuring innovative financial solutions to achieve double-digit growth in multi-billion dollar lending portfolios. Credit risk manager of multi-billion dollar, cross-border Corporate & Commercial credit portfolios.

    Linkedin
  • 14:50

    END OF SUMMIT

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