Python engineer

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform.

• This role will be responsible for managing technical objectives, providing technical leadership, and maintaining a hands-on approach to development.
• They should be able to mentor junior team members, conduct code reviews, and drive architectural decisions.

• Master's degree or higher in Computer Science, Engineering, or a related technical field from a top-tier institution.
• 5+ years of experience as a Python developer, with a strong focus on data engineering and AI/ML systems.
• Expert-level knowledge of Python and its ecosystem, including experience with data processing libraries like Pandas, NumPy, and PySpark.
• Proficiency in designing and implementing scalable, maintainable, and efficient data pipelines.
• Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
• Expertise in version control systems (Git), CI/CD practices, and agile methodologies.
• Strong communication skills with the ability to explain complex technical concepts to both technical and non-technical stakeholders.
• Будет плюсом: Experience in the finance industry is a plus but not required; Experience with AI/ML frameworks such as PyTorch, or scikit-learn, LLM, agents or systems of agents is a significant plus

• Условий в вакансии нет