Pushing the boundaries with applied machine learning research

UCL Institute of Finance & Technology

We welcome Raad Khraishi, Lead Data Scientist at Natwest Group, in conversation on applied machine learning research​.

Gustave Tuck Lecture Theatre

AGENDA17.30 - Doors17.45 - Event begins 19.00 - Drinks ReceptionS﻿PEAKER BIORaad Khraishi is currently a Lead Data Scientist at NatWest Group where his work involves building machine learning solutions for a wide range of problems in areas such as financial crime, pricing, credit risk, and portfolio management. Raad also leads advanced research in areas such as deep learning, language models, privacy, and reinforcement learning. He holds a BA in Economics from UCSB, an MSc in Economics from UCL, and is currently pursuing his PhD with a focus on finance and machine learning at UCL’s Institute of Finance &amp; Technology. Previously, Raad has also worked as a data scientist in the Pricing team at NatWest Group and as an econometrician within the Economic Consulting team at Deloitte. A﻿BOUT THE SERIESIFT&#x27;s Conversations with Industry series was launched in 2019 to bring real-world examples of digital finance innovation and creativity to a classroom setting. Held annually throughout UCL&#x27;s Spring Term, the series demonstrates how industrial ecosystems in London and beyond are approaching the topics of finance and technology. These sessions are hosted by IFT&#x27;s Industrial Director Paola Bergamaschi-Broyd. Conversations are open to the general public to attend, particularly to those who have a background or an interest in finance and technology. All conversations are followed by an opportunity for audience Q&amp;A and an informal drinks and networking reception at the venue.

A﻿BOUT IFT
<a href="https://www.ucl.ac.uk/institute-finance-technology/" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">The Institute of Finance &amp; Technology (IFT) </a>was established in 2019 as an interdisciplinary academic innovation centre. We are committed to teaching and researching innovative and disruptive approaches to finance. 
Our programmes are delivered by both academic and industry experts to provides student with the “best of both worlds”, providing a rigorous foundation on key theories and concepts, and consolidating this with an understanding of real-world applications. We incorporate learning activities, research, and industrial experiences that will help develop commercial competencies to prepare future finance leaders to tackle the challenges and leverage the opportunities that lie ahead.

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Pushing the boundaries with applied machine learning research

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