Python Risk Developer
This Io Tech Solutions advertisement describes a Python role building cross-asset pricing and risk infrastructure. The developer implements quantitative models and connects them to daily portfolio and trading workflows.
What you’d work on
Our reading of the posting: what a new hire in this role would most likely spend their first months on.
- Build Python risk engines and pricing libraries
- Implement VaR, stress and factor-model calculations
- Optimise large-dataset processing
- Integrate analytics with portfolio and order-management platforms
What they ask for
Required
- Python risk-platform development
- Quantitative model implementation
- Data-pipeline engineering
- Performance optimisation
- Cross-asset risk aggregation
- Education
- No formal degree requirement is specified.
- Experience
- The description does not publish a minimum year count or formal degree requirement.
- Languages and tools
- Markets
- equities, fixed-income, credit, multi-asset
How to prepare
- Implement a checked portfolio-risk calculation
- Benchmark a large-data risk pipeline
- Demonstrate scenario-model tests before production deployment
What to study
The HFT Quant Developer roadmap sets out the stages for this kind of role, with free resources for each.
Open the roadmapApply
Read the full posting on Io Tech Solutions Limited’s site before applying: requirements, location and pay can change after we check them.
View the posting on Io Tech Solutions Limited’s site ↗
SelfMadeQuant wrote this summary from the employer’s public posting, last checked 6 November 2026. SelfMadeQuant isn’t affiliated with Io Tech Solutions Limited and doesn’t handle applications.