Quant Developer

Role purpose: Design, build, and optimize quantitative trading and research systems by translating financial models into robust, production-grade software., * Develop and maintain pricing, risk, and alpha models for systematic trading and portfolio analytics.

• Implement research pipelines for data ingestion, cleaning, feature engineering, and backtesting.
• Optimize performance and latency of computation-heavy components; profile, refactor, and parallelize as needed.
• Integrate models into production environments with monitoring, logging, and automated validation.
• Collaborate with quants, traders, and engineers to define requirements and deliver reliable releases.
• Ensure code quality via testing, version control, and reproducible research practices., Investment Data Engineering is a front-office team within Robeco Investments, responsible for our in-house developed Research and Data Platform. This platform powers Robeco's Quant Investing Strategies and is central to the development and productionizing of investment ideas by quants, data scientists, and portfolio managers. Our team operates at the heart of Robeco's research-driven culture, collaborating continuously with the research department to turn cutting-edge insights into live investment strategies. We continuously enhance the platform's capabilities, integrate the latest technologies, onboard new structured and alternative datasets, and ensure smooth day-to-day operations. Our vision is to remove friction in the implementation of data-driven ideas - from having all relevant data available in one place to deploying advanced analytics, machine learning, and Generative AI solutions. We enable a seamless transition from research insights to live investment strategies., As a Quant Developer in our team, you will extend and evolve our platform in multiple dimensions:
• Collaborate closely with quant researchers to enable new data sources, analytics capabilities, and investment strategies.
• Build proprietary technology to optimize efficiency, scalability, and robustness of our platform.
• Deploy quantitative signals and leverage high-performance computing resources to ensure robust, scalable, and efficient implementation of investment strategies.
• Onboard and process diverse data formats - from structured market data to unstructured text, documents, and audio.
• Design and deploy GenAI/LLM-powered solutions that accelerate research, automate reporting, enhance decision support, and create innovative capabilities across the Investments domain.

This position is ideal for someone who thrives in a collaborative environment and is passionate about working side-by-side with researchers to drive innovation in quantitative investing. It's an environment with abundant opportunities for entrepreneurship, innovation, and personal growth.

• Programming: Strong proficiency in Python and/or C++; ability to write clean, maintainable code.
• Quant fundamentals: Statistics, time-series analysis, optimization, and market microstructure basics.
• Data: Experience with large datasets, SQL, and efficient data structures.
• Tools: Git, CI/testing frameworks, Linux; familiarity with cloud or distributed compute is a plus.
• Mindset: Rigorous problem solving, attention to detail, and strong communication across technical teams.

Success criteria

• Accurate, well-tested models deployed with measurable performance and stability.
• Reproducible research workflows enabling faster iteration from idea to production., * Academic background in a quantitative field (e.g., Mathematics, Engineering, Computer Science, Econometrics).Strong programming skills (e.g., Python, PySpark, Rust, C#).
• At least 4 years of experience within the asset management or investment industry. Previous experience as quant developer is highly preferred, or in a related (AI driven) field.
• Knowledge of modern data technologies (e.g., Databricks, Snowflake, Azure).
• Enthusiasm for technical innovation, including the application of Generative AI in real-world investment workflows.
• Currently living in and eligible to work in the EU.

You'll be working at the intersection of finance, technology, and innovation, shaping the future of how Investments uses data and AI. Your work will directly influence investment decisions, research efficiency, and client outcomes - all while giving you the freedom to explore new technologies and approaches.