Quantitative Developer

About the Opportunity:

Koda Staff is partnering with a leading systematic investment manager that combines technology, quantitative research and data science to build sophisticated trading strategies across global financial markets.

This is an opportunity to join a highly collaborative quantitative engineering team working alongside Researchers, Traders and Cloud Engineers to develop the technology that powers research, analytics and live trading. The environment is fast-paced, highly technical and focused on solving complex problems through engineering excellence and data-driven decision making.

If you're passionate about Python, quantitative development and building scalable data platforms, this could be an excellent next step in your career.

The Role:

As a Python Quantitative Developer, you'll play a key role in designing and developing production-grade applications and research infrastructure that directly supports quantitative research and trading activities.

Working closely with researchers and trading teams, you'll build scalable software, quantitative tools and cloud-native data platforms that enable better investment decisions.

Responsibilities:

• Design, develop and maintain cloud-native Python applications supporting quantitative research and trading workflows.

Build applications including:

• Market data dashboards
• Risk analytics
• Profit & Loss reporting
• Weather analytics
• Performance analysis tools
• Develop quantitative tooling, including:
• Backtesting frameworks
• Optimisation libraries
• Pricing libraries
• ETL pipelines
• Build and maintain scalable data pipelines for both research and production environments.
• Integrate, validate and process large alternative datasets
• Monitor, troubleshoot and continuously improve existing research and trading infrastructure.
• Collaborate closely with Quantitative Researchers, Traders and Engineering teams to deliver high-quality production software.

What We're Looking For:

• 3+ years of commercial Python development experience.
• Strong knowledge of Python and numerical computing libraries, including:
• NumPy, Pandas, Polars, Xarray
• A strong quantitative mindset with an interest in financial markets and systematic trading.
• Experience building scalable production software.
• Experience developing ETL pipelines and processing large datasets.
• Strong understanding of software engineering best practices, including:
• Git, Automated testing, Packaging, CI/CD and deployment
• Experience working with relational databases such as PostgreSQL.
• Knowledge of object storage technologies.#
• Comfortable working independently while collaborating with both technical and business stakeholders.

If you are located in Aarhus and this sounds like you, please apply directly.