Quantitative development
Build the foundations, methods and work samples used in quantitative development roles.
An entry-level learning direction with educational tasks; check target-role requirements.
Your learning checklist
Required items: 0 / 10 completed or already known
Next: Read a role through its responsibilities
Checklist statuses are self-reported; exercise scores are recorded separately. You can reset any item.
Know the role
Translate a role description into three observable learning goals.
Build foundations
Build a sourced calculation table with an independent check.
Describe a distribution and its limits of inference.
- Programming and data structuresRequired
Independently: Implement a trade-summary function with boundary checks.
- Market data and timeRequired
Independently: Distinguish event time, receive time and time zones.
Develop core skills
- Numerics and toleranceRequired
Independently: Compare floating-point results using a defined tolerance.
Independently: Test order states, empty inputs and repeated events.
- Performance measurementRequired
Independently: Record baseline, input size and environment before comparing optimisation.
Practise scenarios
- Research, citation and argumentRequired
Write a sourced analytical paragraph with limitations.
- Failures, limits and recoveryRequired
Independently: Define explicit handling for invalid data and connection failures.
- Implementation notes and reviewOptional
Independently: Explain model assumptions, interfaces, tests and limitations.
Build a work sample
Submit a work sample with method, results and reflection.
Try a practice set
Calculations and choices receive immediate checks. Review open responses yourself against the rubric. All examples are educational.
Quant data tool and test notes
For this quant data tool and test notes, bound the problem to one educational scenario. List inputs and assumptions, preserve calculations and distinguish findings from missing evidence.