Dates: December 26 – 30, 2018
Time: 9:00 am
Venue: 10 201, second floor, SBASSE Building LUMS
Registration Deadline: December 10, 2018
The workshop will be delivered by mathematicians with a interests and skills in technical finance; at both academic and practitioner levels.
Workshop details can be accessed here.
The pace at which modern finance continues to grow has been possible due to the availability of advanced mathematics and computational power. At the centre of these advances is the noticeable contribution of graduates trained in hard science, computing and engineering disciplines. This has allowed the financial markets to become increasingly sophisticated as well as the emergence of new complex financial products and markets. Alternative names for this branch of mathematical science are Mathematical Finance, Financial Mathematics and Financial Engineering. All of them rely on the provision of well-trained scientists with interests in finance.
In recent years, there has been an explosion in the availability and popularity of advanced degrees in Mathematical Finance and Computational Finance at many of the top tier universities internationally. These are aimed at leading numerate graduates towards lucrative and technically challenging careers as quantitative analysts (quants), developers and traders in investment banks and hedge funds. They are typically taught MSc degrees of ten-months duration, with increasing numbers of graduates from Pakistan being attracted to Europe, USA and Australia for advanced scholarship in this field.
The programme comprising of lectures and lab sessions will be delivered over five days. The proposed audience for this intensive workshop are junior/senior majors following degrees in maths, computer science, physics or engineering, as well as graduate students. In addition, the workshop is open to industry professionals working in banks, actuarial firms, financial technology, securities and exchange, financial regulation.
The aim of the course is to present a combination of the mathematical and computational based concepts which have practical uses in the global financial sector. However, the interdisciplinary nature of the material makes these topics transferable to other industry groups. Take-home exercises will be available.
Participants for the workshop should have studied basic probability and partial differential equations as part of their undergraduate training. Introduction to programming in Python will be given. No previous knowledge of finance is required. A certificate of participation will be awarded to all participants.