Summary
Join a systematic investment technology team building sophisticated solutions for global financial markets. As a Quantitative Developer, you will use Python and strong software engineering practices to develop production applications, research infrastructure, and scalable data platforms alongside quantitative researchers, traders, and cloud specialists.
Highlights
Join a highly technical quantitative engineering environment working closely with researchers, traders, and cloud engineers. The role offers the opportunity to build production-grade systems and scalable data infrastructure directly supporting quantitative research and live trading.
Description
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 dashboardsRisk analyticsProfit & Loss reportingWeather analyticsPerformance analysis toolsDevelop quantitative tooling, including:Backtesting frameworksOptimisation librariesPricing librariesETL pipelinesBuild and maintain scalable data pipelines for both research and production environments.Integrate, validate and process large alternative datasetsMonitor, 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, XarrayA 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 deploymentExperience 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.
