Thought Leadership Webinar: The Quantitative Developer Certificate (QDC)
Wednesday 1st December 2021: 16:00 – 17:00 GMT
There’s computing, then there’s computing for algorithmic trading and HFT. Especially in the HFT world, where a microsecond is an eternity, the collective wisdom of everyday programming no longer applies and developers have to use completely different, often obscure, design patterns.
We need to “think low level, write high level”, being mindful of every nanosecond.
If we leave the estoteric world of HFT, we still encounter oursevles in relatively uncharted waters. Perhaps the closest that we get to the computing of electronic trading is the world of computer games, where event-driven programming abounds.
The toolkit of an algorithmic trading developer is also unusual. We use tools such as kdb+/q, which are nothing like the conventional programming languages, and are just beginning to expand to other industries.
In brief, there’s much to learn. In this talk we’ll try and determine, what specifically.
Introduction to the Course
The Quantitative Developer Certificate (QDC)
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.
The course consists of 5 Modules:
- PYTHON FOR FINANCE
- DATABASES IN FINANCE – KDB
- C++ FUNDAMENTALS AND USE CASES FROM QUANTITATIVE FINANCE
- DATA STRUCTURES AND ALGORITHMS IN C++
- DESIGNING ALGO-TRADING APPLICATIONS
- Throughout the course sample test questions from quant interviews will be provided
Six Month Qualification
23 lecture weeks live in London or globally online.
10-12 hours per week. 2 – 3 hours lectures.
5 Module Tests and Final Examination
Throughout the course sample test questions from quant interviews will be provided.
The Thalesians are a group of dedicated professionals with an interest in Artificial Intelligence (AI) / Machine Learning (ML), quantitative finance, economics, mathematics, physics and computer science, not necessarily in that order.
Please also visit our main Thalesians web page here too (www.thalesians.com) to learn more about us!