Software Engineer – Trading Risk Modelling (Python)

ING Hubs Poland is hiring!

The expected salary for this position: 9600- 22 000PLN

The financial ranges specified in the announcement are adjusted and may differ from the range specified in the remuneration regulations.

Are you an experienced software engineer who enjoys building highquality libraries designing robust architectures and raising engineering standards Do you want to apply your craft in a complex datadriven environment within financial markets
If so this role offers you the opportunity to shape the core engineering foundations of our Trading Risk modelling.

We are looking for you if you:

• Have 35 years of software development experience in Python.
• Take on return well back you to develop into an even more
• Excel in writing modular testable and maintainable code.
• Have practical experience with CI/CD DevOps tooling code reviews and automated testing.
• Enjoy building libraries frameworks or shared tooling for other developers.
• Communicate clearly and enjoy working with multidisciplinary teams (quants risk managers traders).
• Bring a proactive attitude ownership mindset and collaborative spirit.
• Care deeply about software quality and delivering sustainable welldesigned systems.
• Stay curious and keep learning.

Youll get extra points for:

• Familiarity with quantitative models derivatives pricing or (trading market) risk frameworks (EC VaR FRTB Stress Testing).
• Exposure to financial products or financial markets.

Your responsibilities:

As a Software Engineer in the Global Models Team you will be responsible for creating the development frameworks tools and libraries that power our riskmodel ecosystem. Your work will accelerate the delivery of quantitative models and ensure they run reliably.

You will:

• Design and build internal Python libraries used by multiple modelling teams for risk valuation and stress testing.
• Set and enforce coding standards best practices and development workflows (Git branching strategies code reviews CI/CD pipelines packaging).
• Implement scalable productiongrade components for model integration testing and monitoring.
• Introduce modern engineering practices such as automated testing type checking linting and deployment automation.
• Collaborate with quants translating mathematical designs into clean software architectures and guiding others on good engineering principles.
• Translating mathematical model specifications into robust welltested software components.
• Building modelmonitoring tools and supporting integration into existing frameworks.
• Own the longterm maintainability of the modeldevelopment platform including documentation versioning and library governance.

The financial ranges specified in the announcement are adjusted and may differ from the range specified in the remuneration regulations.