nlp - Events - Global Risk Community2024-03-28T22:34:43Zhttps://globalriskcommunity.com/events/feed/tag/nlpMachine Learning in Quantitative Financehttps://globalriskcommunity.com/events/machine-learning-in-quantitative-finance2024-06-04T22:00:00.000Z2024-06-04T22:00:00.000ZRia Kiayiahttps://globalriskcommunity.com/members/RiaKiayia<p><a href="https://globalriskcommunity.com/events/list/on/2024-06-05">Jun 5, 2024</a> to <a href="https://globalriskcommunity.com/events/list/on/2024-06-07">Jun 7, 2024</a></p><p>Location: Amsterdam, the Netherlands</p><p>Created by: <a href='/members/RiaKiayia'>Ria Kiayia</a></p><div><img src="https://storage.ning.com/topology/rest/1.0/file/get/12399908066?profile=RESIZE_400x&width=400"></div><div><p>The <strong>marcus evans</strong> <a href="https://www.marcusevans.com/conferences/mlquantitativefinance?utm_source=media+partner&utm_medium=grc+event+listing&utm_campaign=cm519+-+grc&utm_id=cm519">Machine Learning in Quantitative Finance</a> conference taking place on 5-7 June, 2024 in Amsterdam, the Netherlands will enable you to discover new strategies for effective model validation, and monitoring in the era of Artificial Intelligence (AI) and machine learning. Moreover, you will be able to engage with industry leaders to understand the complexities of non-credit model handling and the necessary skill sets for today's evolving risk environment. Finally, you will delve into discussions on integrating advanced models within regulatory frameworks and learn how to navigate the ethical considerations and risks associated with these technologies. </p><p><strong>Key Topics include:</strong></p><ul><li>Promising visions of <strong>AI </strong>in Quant Finance.</li><li><strong>Overcome</strong> limitations of ML and hinderances to the speed of adoption.</li><li><strong>Alternative data</strong> – is it at the stage of making money?</li><li>Anticipate the rise of <strong>LLMs/NLP</strong> in Quant Finance.</li><li><strong>Personalise Machine Learning</strong> to improve customer experience, revenue, and next action calculations.</li><li><strong>Seamless integration</strong> of ethical investing and ESG with use of ML.</li></ul><p><strong>Best Practices and Case Studies from:</strong></p><ul><li><strong>Thomas Raffinot</strong>, Head of Quant Investment Signals, <strong>AXA</strong></li><li><strong>Roberto Bartolomei, </strong>Head of Alternative and Quantitative Investment Solutions<strong>,</strong> <strong>BNP Paribas</strong></li><li><strong>Nicole Königstein</strong>, Chief Data Scientist and Head of AI & Quantitative Research, <strong>Wyden Capital AG</strong></li><li><strong>Karim Jadallah</strong>, Senior Managing Quant Consultant, <strong>UBS</strong></li><li><strong>Sebastian Schneider</strong>, Quantitative Equity Researcher, <strong>Robeco</strong></li><li><strong>Alejandro Rodriguez Dominguez</strong>, Head of Quantitative Analysis, <strong>Miralta Bank</strong></li></ul><p>For more information please contact Ria Kiayia at <a href="mailto:riak@marcusevanscy.com">riak@marcusevanscy.com</a> or visit: <a href="https://bit.ly/4cpcCu6">https://bit.ly/4cpcCu6</a></p></div>24th Edition Model Riskhttps://globalriskcommunity.com/events/24th-edition-model-risk2024-06-24T04:00:00.000Z2024-06-24T04:00:00.000ZRia Kiayiahttps://globalriskcommunity.com/members/RiaKiayia<p><a href="https://globalriskcommunity.com/events/list/on/2024-06-24">Jun 24, 2024</a> to <a href="https://globalriskcommunity.com/events/list/on/2024-06-25">Jun 25, 2024</a></p><p>Location: Boston, MA</p><p>Created by: <a href='/members/RiaKiayia'>Ria Kiayia</a></p><div><img src="https://storage.ning.com/topology/rest/1.0/file/get/12400206493?profile=RESIZE_400x&width=400"></div><div><p>The <strong>marcus evans</strong> <a href="https://www.marcusevans.com/conferences/model-risk?utm_source=media+partner&utm_medium=grc+event+listing&utm_campaign=cmu357+-+grc&utm_id=cmu357">24th Edition Model Risk</a> conference taking place on 24-25 June, 2024 in Boston, MA will enable attendees to delve deep into the integration and governance of AI and machine learning models, uncovering both the challenges and groundbreaking opportunities they present, as well as traditional models. Explore robust solutions for efficient model documentation and reporting and gain invaluable insights on navigating the evolving regulatory environments.</p><p><strong>Key Topics include:</strong></p><ul><li><strong>Provide</strong> an update on the regulatory guidance within MRM</li><li><strong>Master</strong> third party model management, validation and audit</li><li><strong>Breaking new ground:</strong> The validation challenges of NLP and LLM in finance</li><li><strong>Build</strong> solid governance uniting diverse expertise across the MRM function</li><li><strong>Unravel</strong> the model definition puzzle from an insurance perspective</li><li><strong>Climate risk</strong> and ESG model validation: emerging regulatory trends</li></ul><p><strong>Best Practices and Case Studies from:</strong></p><ul><li><strong>David Palmer</strong>, Senior Supervisory Analyst, <strong>Federal Reserve Board</strong></li><li><strong>Shawn Tumanov, </strong>Director, Data & Analytics (AI) Governance<strong>,</strong> <strong>BMO Financial Group</strong></li><li><strong>Aruna Joshi</strong>, Head of Model Risk Management, <strong>Visa</strong></li><li><strong>Seyhun Hepdogan</strong>, Director of Analytics, <strong>Fifth Third Bank</strong></li><li><strong>Michael Minnes</strong>, Head of Model Governance, <strong>MassMutual</strong></li><li><strong>Akshaya Nambiar</strong>, Assistant Vice President, ESG & Climate, Model Risk Management, <strong>Deutsche Bank</strong></li></ul><p>For more information please contact Ria Kiayia at <a href="mailto:riak@marcusevanscy.com">riak@marcusevanscy.com</a> or visit: <a href="https://bit.ly/3TyS372">https://bit.ly/3TyS372</a></p></div>