About
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.
Responsibilities
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.
Requirements
•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.
Nice to have
•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.
Conditions
No conditions stated in the posting.
