The objective of the course is to develop fundamental skills of quantitative developer role. The course is of an introductory level and does not require programming experience. The course is designed by practitioners from quantitative finance with experience in model development for derivative pricing and systematic trading. The primary coding languages of the course are Python and C++. As it is essential in finance to work with time series data we introduce database KDB and the language q, which are the leading solutions for storing the timeseries.
Level up your career: Understanding advanced trading strategies, Impact of Machine Learning and methods for research into new alpha sources.
Goals of Class
Provide a strong foundation in the tools and techniques used in algorithmic trading.
Cover everything from basic programming concepts to advanced trading strategies and
methods for research into new alpha sources.
Apply everything in hands-on projects throughout the course.
8 - 10 Hours Weekly: Time Commitment
Weekly recorded lectures accessible any time, from any global location, in your educational portal.
Self-paced Online: Students will have the opportunity to apply what they learn in hands-on projects throughout the course.
Faculty: Dedicated Faculty Support available every step of the way. Weekly seminar & student forum.
Certificate: Students are awarded the prestigious Algorithmic Trading Certificate from WBS Training.
The Artificial Intelligence Finance Institute’s (AIFI) mission is to be the world’s leading educator in the application of artificial intelligence to investment management, capital markets and risk. We offer one of the industry's most comprehensive and in-depth educational programs, geared towards investment professionals seeking to understand and implement cutting edge AI techniques.
The Certificate of Bank Treasury Risk Management (BTRM) is a professional qualification and certification in bank Treasury, Capital Markets and balance sheet risk management. The programme is a 6-month modular qualification, with cohorts starting every April and October.
Obtaining the BTRM provides students not only with a recognised professional qualification demonstrating excellence in the Treasury space, it is also a sign of genuine commitment to excellence in risk management.
The BTRM has partnered with University of Northwestern Switzerland (FHNW) to offer the programme jointly. We are very proud to be associated with such a prestigious institution, which of course benefits graduating BTRM students who will now be awarded their Certificates from FHNW.
The Machine Learning Institute Certificate in Finance (MLI) is delighted to announce a fully updated world class faculty and brand new syllabus for 2022.
The MLI is a comprehensive seven-month part-time course, with weekly live lectures in London or globally online. The MLI is comprised of 2 levels, 5 Primers, 8 modules, 32 lecture weeks, assignments, a practical final project and a final exam which can be taken from any global location online using our live invigilation platform.