Recruitment event for industry based (part-time) PhD students â 29th September 2016 at UCL
The UK Centre for Financial Computing & Analytics (www.financialcomputing.org) is keen to encourage Professional (part-time) PhDs, targeting highly qualified professionals working in financial and data science services industry in London.
The UK Centre is hosting an evening event for industry professionals, and for companies interested in encouraging their staff to pursue a part-time PhD based on their work in the firm.
The event will take place on Thursday 29th September 2016 from 16.30h-18.00h at UCL, Malet Place, Roberts building, G08 Sir David Davis LT, London, WC1E 7JE.
The event will throw light on how a part-time PhD works. In addition, presentations from professionals currently doing part-time PhDs will take place. There will be opportunity to ask questions and obtain all necessary information for pursuing a PhD degree part-time.
If you are interested in attending, please register here and send an email to Yonita Carter
Research students and young professionals are invited to attend a half-day conference.
University College LondonCruciform B304 LT1,Cruciform Building, Gower Street,London, WC1E 6BT
UCLÃÃÂ¢s Centre for Doctoral Training in Financial Computing & Analytics is organising a conference to bring together university researchers and industry professionals to discuss future directions and job opportunities in finance and data science.
Topics will include algorithmic trading, financial mathematics, health analytics, fintech, people analytics, consulting, computational advertising and deep learning.This event will be of interest to PhD students, Post Docs, industry professionals and companies seeking to recruit PhDs to work in finance and data science.
Speakers include: Mike Lynch (Invoke Capital), John Loizides (Citi), Jessica James (Commerzbank), George Calderbank (Winton Capital), Clare Finn-Levy (Essentia Analytics), Giles Pavey (Tesco dunnhumby), Alan Payne (BUPA), Thore Graepel (Google Deep Mind), Orlando Machado (Moneysupermarket.com) and Ray Eitel (Accenture).
Please send any questions to:Yonita Cater
PhD studentship with Team SKY
The London Quantitative Finance Seminarwww3.imperial.ac.uk/mathfin/events/lqfseminarsFinance & Stochastics Seminarwww3.imperial.ac.uk/mathfin/events/seminars
Algorithmic trading is the most popular research topic in investment banking. As trading has become increasingly automated, the requirement for computer scientists, physicists, mathematicians and other specialists in the financial computing field to migrating towards quantitative analysis has also grown.
In recognition of this, UCL's Financial Computing Centre, in association with Microsoft, hosted conferences in June 2010 and 2011, bringing together university researchers and financial industry professionals to discuss future directions and job opportunities in algorithmic trading.
The conferences also launched the annual Global Algorithmic Trading Competition, sponsored by Microsoft, Barclays Capital, Citi and Knight Capital. In 2012, UCL hostedthe Eurex Trading Game Competition.
In September 2011, over 100 teams of students and young professionals participated in a trading competition using the UCL AlgoTrading platform, with prizes totaling Â£25,000.
Server equipment with the Algorithmic Trading Platform (ATP) was provided, and trading took place via an API that allows development of strategy, market updates and the issuing and management of orders during the competition. All operations were performed with virtual money.
The participant with the largest balance and best risk performance throughout the trading period was the winner. The prize for the best Microsoft product application was granted after analysis of write-ups of how the Microsoft products were used and applied in strategies.
PhD and MSc students presented their work alongside invited speakers.
Download slides from the conference:
Dr A. Herbert, Managing Director Microsoft ResearchKeynote Address - Microsoft Research Cambridge2.32 MbProfessor Philip Treleaven, UCLAlgorithmic Trading: current trends & future directions
Sethu Raman, MicrosoftProduct Review & Competition launch
Dr. D. Brown & Michal Galas, UCLUCLÃÃÂ¢s Algorithmic Trading System Platform, 3.1 Mb
Merrill Lynch/Bank of AmericaAlgorithmic Trading Challenges, 316 Kb
John Loizides, CitiHigh Frequency Finance2.42 Mb
Antonios Hadjigeorgalis, Trading TechnologiesTrading Tools, 755 Kb
Chris Bracegirdle, UCLLinear Dynamical Systems for Price Prediction, 1.1 Mb
Mahnoosh MirghaemiPre-Trade Analysis, 546 Kb
Janti Shawash, UCLFTSE 100 Returns & Volatility Estimation, 1.3 Mb