Roles / Finance, economics and quant
Quantitative researcher / analyst
Finds and tests trading or pricing ideas with maths, statistics and data. Most of the job is research that doesn't work, and noticing when it does.
Draft. This list is our judgement and hasn’t been checked against real job postings yet. How roles get checked
21 stops to go, about 577 hours of study.
Open a stop to see the book, the video course and the practice for it. Tick its circle when you've finished.
- 20 h
Maths foundations. Ready to start.
- 40 h
Maths foundations. After Mathematical proof.
- 40 h
Maths foundations. Ready to start.
- 40 h
Maths foundations. Ready to start.
- 40 h
Maths foundations. Ready to start.
- 40 h
Programming. Ready to start.
- 8 h
Programming. After Programming in Python.
- 6 h
Algorithms and data structures. After Discrete maths.
- 10 h
Algorithms and data structures. After Programming in Python.
- 25 h
Algorithms and data structures. After Arrays, lists, stacks and queues and Big-O and running time.
- 20 h
Algorithms and data structures. After Recursion and Big-O and running time.
- 8 h
Algorithms and data structures. After Arrays, lists, stacks and queues.
- 40 h
Algorithms and data structures. After Dynamic programming, Graph algorithms and Hash tables.
- 30 h
Data. Ready to start.
- Tool25 h
Data. After Programming in Python.
- 25 h
Data. After Statistics.
- 60 h
Machine learning. After Linear algebra, Probability and Programming in Python.
- 20 h
Economics and finance. Ready to start.
- 30 h
Economics and finance. After Financial markets and Probability.
- Project25 h
Economics and finance. After Time series and forecasting, Data wrangling with pandas and Financial markets.
- 25 h
Maths foundations. After Probability and Calculus.
That's everything for to get hired. Switch "How far" to see what comes after.