Join Nykredit Markets as a Quantitative Developer (Analyst/Associate)

Nykredit Group; København; Híbrido; DKK 700.000 - 900.000; Jornada completa

Descripción de la vacante

Nykredit Markets is seeking a Quantitative Developer to design and maintain analytics applications and quant infrastructure for pricing, risk, and modeling across asset classes. You will work with traders, sales, and engineers to deliver robust, scalable solutions and explore AI-enabled improvements.

Join the QS Financial Engineering team to advance Dragonfly and related tools, while collaborating across the department to ensure best-in-class models and decision-support for markets and clients.

Formación

• Degree in finance, economics, IT, natural sciences, or engineering.
• Strong software development skills incl. Python.
• Interest or experience with AI or machine learning.
• Familiar with generative AI, LLMs, AI agents, or modern AI tools.
• Understand software architecture, data structures, algorithms, and distributed systems.
• Analytical, able to solve complex financial and technical challenges.
• Effective communication and collaboration with technical and non-technical stakeholders.

Responsabilidades

• Design and develop analytics applications for pricing, risk, and modeling of markets and instruments.
• Build scalable, robust quant infrastructure with CI/CD pipelines and monitoring.
• Monitor and optimize production data flows and model operation.
• Explore AI use cases and translate into business value for Markets.
• Tackle complex quantitative and technical challenges and deliver improvements.

Conocimientos

Python

AI/ML

Distributed systems

CI/CD

GitHub Actions

Azure

Educación

University degree in finance/economics/IT/engineering

Descripción del empleo

Join Nykredit Markets as a Quantitative Developer (Analyst/Associate)

Would you like to help develop the next generation of quantitative models, tools, and AI solutions in Nykredit Markets? Do you thrive at the intersection of financial markets, technology, and innovation, and are you motivated by turning complex challenges into concrete solutions? Then this could be the opportunity for you.

A key part of Nykredit Markets’ new strategy is a comprehensive upgrade of our quant platform and models. In Quantitative Solutions, we are responsible for this initiative and are currently developing Dragonfly — a modern, scalable, and highly optimized quant platform used for market making, pricing, and risk management of financial instruments across asset classes.

We are therefore looking for a Quantitative Developer who wants to work closely with the business and help develop and maintain solutions used daily by traders, sales professionals, and other specialists in Nykredit Markets.

Your primary responsibilities:

• Design and development of analytics applications: Design, develop, and maintain Dragonfly applications and tools for pricing, risk management, and modeling of financial markets and instruments.
• Building scalable and robust quant infrastructure: Ensure that our quant platform and models run reliably and scale effectively, from infrastructure and CI/CD pipelines to monitoring and operations.
• Monitoring and optimizing production flows: Ensure robust processes, high data quality, and stable operation of our models and quant platform.
• Staying ahead with AI and new technology: Identify relevant AI use cases and help turn them into business solutions that create value in Markets and for our clients.
• Quantitative analysis and technical problem-solving: Work on complex financial and technological challenges and translate technical or quantitative analyses into concrete improvements and new opportunities.

Are you the one we are looking for?

We welcome applications from recent graduates, final-year Master’s students, and candidates with up to three years of relevant work experience. Depending on your qualifications and experience, the role will be at Analyst or Associate level.

We expect that you:

• hold a relevant university degree in finance, economics, IT, natural sciences, or engineering, with strong academic results,
• have strong software development and programming skills, including experience with Python and modern application development,
• have an interest in, and preferably experience with, AI or machine learning,
• are familiar with generative AI, LLMs, AI agents, RAG architectures, prompt engineering, or modern AI tools,
• understand software architecture, data structures, algorithms, and distributed systems,
• are analytically strong and motivated by solving complex financial and technical challenges,
• communicate effectively and collaborate well with both technical and non-technical stakeholders,
• have an interest in financial markets and quantitative analysis.

Experience with Microsoft Azure, Azure AI Foundry, cloud-native technologies, MLOps, CI/CD, GitHub Actions, Django, React, or web development is an advantage, but not a requirement.

Your new team

You will join the QS Financial Engineering team, one of three teams in Quantitative Solutions. We are a department with a high level of professional expertise, where collaboration, knowledge sharing, and continuous development are central to our day-to-day work. The department consists of desk quants, quant developers, and financial engineers. Together, we ensure that Nykredit Markets has the right models, applications, and analytical decision-support capabilities to remain in the strongest possible position in the market.

About Nykredit Markets

Nykredit Markets is part of the Nykredit Group, one of Denmark’s largest financial institutions. Nykredit Markets offers a broad range of financial services and products within capital markets, including trading in bonds, credit, FX, and equities. We serve both institutional and private investors with advisory services and tailored investment solutions.

Want to know more?

You are welcome to contactme, Sabina Mandsberg, Head of QS Financial Engineering, at [e-mail] if you have any questions about the position.

If you have questions regarding the recruitment process, please contact our recruitment team at [e-mail].