Quantitative Developer, Risk Systems & Analytics

NN Personeel B.V.; Den Haag; Hybrid; EUR 66,000 - 88,000; Full time

Benefits offered by this job

13th month salary

Holiday allowance

27 vacation days

BeFrank pension

Training opportunities

NS Business Card 2nd class

Home office internet allowance

Job summary

NN Group Netherlands is seeking a Quantitative Developer to join an international team spanning The Hague and Budapest. You will develop production-quality C# code, work with AI-assisted tools, and collaborate with risk analysts to design efficient computational solutions.

The role focuses on accurate, reliable risk calculations and strong documentation. You will contribute to risk methodology implementation, support users, and benefit from extensive training, a 13th month, and generous vacation

Qualifications

• Master’s degree (WO) or PhD in a relevant field.
• Hands-on experience with producing production-quality, object-oriented software in C# or C++.
• Strong knowledge of financial or quantitative modelling and ability to implement model methodologies in software.
• Experience building software within large, complex enterprise systems is a plus.

Responsibilities

• Ensure risk calculations are accurate, reliable and efficient.
• Deliver high-quality, maintainable code with tests and documentation.
• Develop C# code and use AI-assisted tools where they improve quality and efficiency.
• Collaborate with business analysts and software engineers to design optimal computational solutions.
• Understand risk models and methodologies and implement them in software.
• Support users in understanding calculations and using systems effectively.

Skills

C# programming

C++ programming

Quantitative modelling

Software design

Education

Master’s degree (WO) or PhD in a relevant field

Tools

Visual Studio

AI-assisted coding tools

Job description

NN Group Netherlands is seeking a Quantitative Developer to join an international team spanning The Hague and Budapest. You will develop production-quality C# code, work with AI-assisted tools, and collaborate with risk analysts to design efficient computational solutions.

The role focuses on accurate, reliable risk calculations and strong documentation. You will contribute to risk methodology implementation, support users, and benefit from extensive training, a 13th month, and generous vacation