31 - 31 March 2020

Women in FinTech Summit Women in FinTech Summit schedule

RE•WORK London AI Finance Summit

  • 08:30

    REGISTRATION & LIGHT BREAKFAST

  • 09:10
    Liza Layne

    WELCOME

    Liza Layne - London Community Leader - AnitaB.org

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    Liza is an experienced Technical Strategic leader of BI & Analytic for over 15 years has seen her become a known champion and advocate for inclusion and diversity in tech. Currently working at Eurostar International Ltd as a Lead Data & Analytics Manager and is also an active member of its Inclusion and diversity committee. Joining AnitaB.org in 2017 as a volunteer, has driven her to forge growth in AnitaB.org’s London Chapter and hHer vision is to empower women to get into tech and stay in there!

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  • CURRENT LANDSCAPES

  • 09:20

    The Changing FinTech Landscape

  • 09:40

    Panel: Ideals Compared to Realities

  • Monica Summerville

    Panelist:

    Monica Summerville - Director of Fintech Research - TABB Group

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    Monica Summerville is Director, FinTech Research, and Head of TABB UK. She is a seasoned financial services industry executive with more than 20 years of experience in senior positions on both the buy and sell side, including working for leading consulting firms and as a US retail broker. Her past positions include broker services at J&W Seligman Investment Management; senior consultant in the financial services division at PWC Consulting; vice president of front office and market data technology for North America at ABN Amro; publisher and executive editor at RiskWaters Group; and director at Jordan & Jordan.

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  • Sharon Kits Kimathi

    Host:

    Sharon Kits Kimathi - Editor - FinTech Futures

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    Sharon Kits Kimathi is Editor of Fintech Futures and Banking Technology since May 2019, having been Deputy Editor at the International Financial Law Review (IFLR) and a capital markets Reporter at mtn-i and Global Capital.

    Having obtained a Bachelor of Laws degree at the University of Sussex, Sharon graduated from her Legal Practitioner’s Course (LPC) as President of the Law Society at City Law School and Winner of the Young Legal Minds Award, 2012.

    This was then followed by permanent positions as a Paralegal for Freshfields Bruckhaus Deringer; Legal Compliance Associate for Goldman Sachs; and Paralegal at Reed Smith LLP. It was conducting legal research for fintech clients at the latter which prompted a shift in career trajectory, away from the legal profession and towards specialist research and journalism from September 2016.

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  • WOMEN IN TECH

  • 10:00
    Maria Stylianou

    The Truth Behind A Women in Tech’s Journey

    Maria Stylianou - Engineering Manager - Monzo

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    Maria helps engineers and managers increase their impact by being their authentic selves. When she’s not an engineering manager at Monzo bank, Maria is a comedian, a capoeirista, a writer and overall trouble maker.

    Prior to Monzo, Maria worked as an engineer and led her previous engineering team through a merger. She taught women and university students how to code and launch their first websites. She co-founded and co-closed two startups, and scouted for better startups to get their first funding in London.

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  • 10:20

    Panel: Women in Tech: What We Wish We Knew

  • Roshini Johri

    Panelist:

    Roshini Johri - Senior Data Scientist - HSBC

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    LIME - A Step Towards Better Interpretability of Deep Neural Networks

    In this Deep Dive session we will take a look at some of the research done in deep neural networks. The current lack of interpretability of deep networks makes it very difficult to use in critical industries like healthcare, finance where black box is a no go. A lot of research has been recently done on how to interpret these high dimensional feature interactions in latent space. We will do a deep dive on LIME which is a recent model that provides local model interpretability. The output of LIME is a list of features that contributed to the model. It also helps determine which features helped changed the prediction of the model. We will discuss an implementation as well as the challenges still being faced with this approach.

    Roshini has a background in AI and electronics from Edinburgh university. She has more than eight years of experience in applying machine learning techniques to design scalable robust solutions in the fields of e-commerce, travel and finance. She has worked with modelling user behaviour, preditive models, recommendation systems, generative adversarial models with deep learning frameworks and is currently working on models in finance to assess risk. She is very interested in understanding how AI techniques can be applied in various industries to make them more efficient and accurate. She is also very passionate about encouraging more women to enter and lead in this field and runs the London chapter for women in machine learning and data science. In her free time she dabbles with creating artwork with neural style transfer and travel photography to show how easily AI can be integrated with day to day activities and enhance our creativity.

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  • 10:45

    COFFEE

  • COMPANY CULTURE

  • 11:20
    Asif Sadiq

    The Impact of Technology on Diversity & Inclusion

    Asif Sadiq - Head of Diversity, Inclusion & Belonging - The Telegraph

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    The Impact of Technology on Diversity & Inclusion

    Abstract: In an ever changing world where technology advancements mean traditional ways of working are changing, how do we ensure that we utilize technology to improve our diversity and inclusion efforts within the workplace while eliminating any potential biases that could be built in the technology.

    Asif is Head of Diversity, Inclusion & Belonging for The Telegraph. He was formerly the Head of Diversity and Inclusiveness for EY Financial Services and previously the Head of the Equality, Diversity and Human Rights Unit for the City of London Police. He is a Multi-Award Winning Diversity and Inclusion expert with over 15 years experience and a proven track record in achieving operational and strategic targets, managing quality, performance, risk and change. Asif has been key in implementing D&I activities and programmes as well as connecting with stakeholders at all levels of organisations to build strong and influential relationships with influencers.

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  • 11:40

    Breaking Down the Stereotypes

  • 12:00

    Panel: Company Culture: Closing the Gap

  • 12:25

    LUNCH

  • FINTECH FOCUS

  • 13:15
    Chandini Jain

    AI: Can Machines Truly Make

    Chandini Jain - Founder - Auquan

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    Women in FinTech Summit - AI: Can Machines Truly Make Smarter Investment Decisions Without Any Human Input?

    Quantitative and semi-quant funds have consistently outperformed discretionary funds over the last few years. Does this mean the age of human intuition based investing is over? Can machines truly replace humans? We will explore the case for data driven decision making in investment management, the benefits and pitfalls of fully automated investing and why the human touch is still important. AI in finance, when done right, is not a replacement for human trader but a powerful tool that traders can combine with their own skill to massively augment their decision making and boost profitability.

    AI in Finance Summit - AI for the buyside: Deep Learning for Factor Research

    Problems in the financial markets are different from typical deep learning applications since the emphasis is not on replicating tasks that humans already do well. Humans have no innate ability to solve these problems that involve large data sets and complex data interactions that currently are difficult to specify in a purely economic model. Applying deep learning methods to these problems can detect and exploit interactions in the data that are, at least currently, invisible to any existing financial economic theory.

    We will demonstrate an example of how we can combine the latest statistical techniques with deep learning methods to compute any relationship between thousands of raw indicators and asset prices, no matter how complex and non-linear. These insights can be used to create new empirical representations of fundamental factors which lead to long-term over-performance. This also enables a better understanding of portfolio exposure to different risk factors, allowing asset managers to create high performing, well diversified portfolios. We will compare the performance of these methods to the linear factor models of traditional financial economics and the ad hoc methods of statistical arbitrage and other quantitative asset management techniques.

    Chandini Jain is the CEO and founder of Auquan. She has 7+ years of global experience in finance with Deutsche Bank in Mumbai/New York and as a derivatives trader with Optiver in Chicago and Amsterdam. At Optiver, she traded volatility arbitrage strategies and was involved first hand in making the shift from discretionary to automated trading. Since 2017, she has been working on Auquan, an early stage fintech startup employing new and cutting edge ML and Deep Learning techniques to solve financial prediction problems for hedge funds and asset managers.

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  • 13:35

    The Power of Blockchain

  • 13:55
    Claire Calmejane

    Improving the Customers Banking Journey

    Claire Calmejane - Chief Innovation Officer - Société Générale

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    Claire Calmejane began her career in 2006 in the Technology Transformation department of Capgemini Consulting, where she supported companies and especially financial institutions in their technological and digital transformation. Contributing to a study on the digital transformation of large companies led by the Massachusetts Institute of Technology in 2011, she joined the London office of Capgemini to lead the digital centre of the Financial Services sector. Recruited in 2012 by Lloyds Banking Group as Head of Digital Delivery in the Online Services Department, she was appointed Innovation Director and set up the Innovation Labs and the Digital Academy before being appointed Risk Transformation Director at Lloyds Banking Group.

    In September 2018, Claire Calmejane joined Societe Generale as Group Chief Innovation Officer.

    Claire Calmejane studied IT Engineering with a degree from the École pour l'informatique et les techniques avancées (EPITA) and a Masters degree from the HEC French school of management.

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  • 14:15

    Security Risk Reductions

  • Panel: Female FinTech Founders

  • Chandini Jain

    Panelist:

    Chandini Jain - Founder - Auquan

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    Women in FinTech Summit - AI: Can Machines Truly Make Smarter Investment Decisions Without Any Human Input?

    Quantitative and semi-quant funds have consistently outperformed discretionary funds over the last few years. Does this mean the age of human intuition based investing is over? Can machines truly replace humans? We will explore the case for data driven decision making in investment management, the benefits and pitfalls of fully automated investing and why the human touch is still important. AI in finance, when done right, is not a replacement for human trader but a powerful tool that traders can combine with their own skill to massively augment their decision making and boost profitability.

    AI in Finance Summit - AI for the buyside: Deep Learning for Factor Research

    Problems in the financial markets are different from typical deep learning applications since the emphasis is not on replicating tasks that humans already do well. Humans have no innate ability to solve these problems that involve large data sets and complex data interactions that currently are difficult to specify in a purely economic model. Applying deep learning methods to these problems can detect and exploit interactions in the data that are, at least currently, invisible to any existing financial economic theory.

    We will demonstrate an example of how we can combine the latest statistical techniques with deep learning methods to compute any relationship between thousands of raw indicators and asset prices, no matter how complex and non-linear. These insights can be used to create new empirical representations of fundamental factors which lead to long-term over-performance. This also enables a better understanding of portfolio exposure to different risk factors, allowing asset managers to create high performing, well diversified portfolios. We will compare the performance of these methods to the linear factor models of traditional financial economics and the ad hoc methods of statistical arbitrage and other quantitative asset management techniques.

    Chandini Jain is the CEO and founder of Auquan. She has 7+ years of global experience in finance with Deutsche Bank in Mumbai/New York and as a derivatives trader with Optiver in Chicago and Amsterdam. At Optiver, she traded volatility arbitrage strategies and was involved first hand in making the shift from discretionary to automated trading. Since 2017, she has been working on Auquan, an early stage fintech startup employing new and cutting edge ML and Deep Learning techniques to solve financial prediction problems for hedge funds and asset managers.

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  • 15:00

    COFFEE

  • CHANGING THE FUTURE

  • 15:45
    Tram Anh Nguyen

    Educating the Next Generation

    Tram Anh Nguyen - Co-Founder - CFTE

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    Tram Anh Nguyen is the co-founder of CFTE and an Industry Fellow at Imperial College Business School. She is recognised as a top leading woman in FinTech for bringing education at scale. She began her career as an NDF trader, market maker in emerging markets at Standard Chartered in New York. She made the move to Dresdner Kleinwort in London before joining UBS Wealth Management. Tram Anh strongly believes that in a world dominated by technology, people must remain at the centre of society and organisations, and that education and training are key to help individuals adapt to a fast changing world. This was the motivation that drove her to launch CFTE, UK based, to help finance professionals up-skill, find more opportunities and build better finance. She works closely with the best experts from academia and industry to deliver education at scale and helps people find good opportunities globally.

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  • 16:05

    Fireside Chat: Change from the Top

  • 16:30

    PANEL: Driving The Future of Work

  • Jessica Lennard

    Panelist:

    Jessica Lennard - Senior Director, Global Strategic Data & AI Initiatives - Visa Data Science Lab

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    Putting the Customer at the Heart of AI in Payments

    Payment transactions provide one the largest, richest data sources on the planet. As the world’s leading payments provider, Visa is driving advances in data science and AI for the benefit of customers, the businesses that serve them, and society more broadly. As well as discussing some of the key use cases, this session will also look at what businesses need to do to empower consumers and engender public trust in these new technologies and use cases of data.

    Jessica is a Senior Director of Data and AI Initiatives in Visa’s Global Strategy team. Her work covers data privacy, AI ethics and related policy, regulation and business development. Her previous roles at Visa include Director of External Affairs for Visa’s Data Science Lab, and Head of UK Regulation and Public Affairs. She has over ten years’ corporate affairs experience including lobbying, communications and reputation management. She has worked for political parties, businesses (start-up to FTSE 100), consultancies, trade bodies, think tanks and NGOs. Her particular expertise is highly regulated, technology-driven sectors including digital, data and AI, telecoms, energy and fintech. She was previously a capital markets solicitor at Linklaters, having completed an undergraduate degree in Law from Oxford University and a Masters degree in Political Theory from the LSE.

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  • 17:00

    CONVERSATION & DRINKS

RE•WORK London AI Finance Summit

RE•WORK London AI Finance Summit

31 - 31 March 2020

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