Study path
Quantitative development
Algorithms, numerical methods and the systems knowledge that separates a quant developer from a general software engineer.
6 topics · 33 lessons · about 7 hoursHudson River Trading, Jump, Citadel Securities, Optiver Tech
- 1
Mental maths and numerical fluencyFLUShared
Arithmetic fast enough to quote from: multiplication, fractions, percentages and estimation under a clock.
2 chapters · 2 lessons
- 2
Markets and productsMKTShared
What you need for the "what have you been following?" and "pitch me a trade" parts of the conversation.
6 chapters · 6 lessons
- 3
Data structures and algorithmsCS
The standard interview canon, with the dynamic-programming section pointed straight at expected-value recursions.
7 chapters · 7 lessons
- 4
Python and data for quantsPY
NumPy and pandas at the level market data demands, and the biases that hide inside a backtest.
6 chapters · 6 lessons
- 5
Numerical methodsNUM
Root finding, interpolation and stability — with implied volatility as the worked case.
6 chapters · 6 lessons
- 6
Systems and low latencySYS
Architecture, C++ and networking as asked at the latency-sensitive firms.
6 chapters · 6 lessons