Senior Quant Engineer - Investment Platform (f/m/d)

In this role, you will design and deliver scalable data-driven solutions to support investment research, portfolio management, analytics, and AI-enabled use cases within a global PM function. You’ll build robust data platforms, pipelines, and backend services in a modern, agile setting, and contribute to end-to-end quantitative system development and productionizing research models. You will work at the intersection of portfolio management, technical delivery, and IT to transform investment processes and systems. This is a hands-on role with ownership from day one in a forward-looking, technology-enabled firm.

• flexible work arrangements (hybrid)
• pension/savings plans
• family support (relocation/childcare)
• company share purchasing plan
• mental health and wellbeing programs
• Jobrad bike leasing/subvention Jobticket

• Collaborate with senior PMs on portfolio construction, optimization, and rebalancing frameworks
• Translate business and data needs into scalable solutions with investment teams, analysts, and architects
• Develop and enhance backtesting and simulation frameworks for multi-asset and derivative strategies
• Productionize research models for investment and risk systems
• Design and maintain end-to-end applications (data ingestion, signal creation, portfolio construction, risk analysis, monitoring)
• Build and maintain large-scale data pipelines transforming raw data into model-ready datasets
• Develop backend components and APIs to access data products and platform services
• Contribute to data-intensive system design ensuring scalability, performance, security, and compliance
• Incorporate AI/ML approaches for feature engineering, signal extraction, and pattern recognition across macro and cross-asset data

• 5+ years in data/backend engineering, quantitative development/research, or portfolio management
• University degree in Computer Science, Finance, Mathematics, Physics, Engineering, or related quantitative field
• Good understanding of multi-asset portfolio construction, asset classes, and global markets
• Knowledge of futures, options, and risk concepts (delta, gamma, convexity, IV)
• Econometrics and statistical modeling knowledge
• Production-grade Python development experience
• Strong SQL and data modeling skills
• Experience with data pipelines and data platforms
• Familiarity with Git, GitHub/GitLab, Jira; Docker and Kubernetes a plus
• Exposure to AI, GenAI, and ML-enabled solutions
• Strong communication skills in English; Agile mindset and ownership
• Experience with AI/Data Analytics/Data Integration/DevOps Technologies

• strong communication
• collaborative
• ownership
• Python
• SQL
• data pipelines