Description

Our client is a global quantitative investment firm that designs and deploys systematic strategies across a wide range of asset classes and global markets. The firm focuses on generating high‑quality predictive signals through a proprietary research and technology platform, targeting market inefficiencies at scale.

The organisation blends strong academic rigour with accountability for results. Employees are encouraged to challenge conventional thinking, collaborate openly, and continuously improve. Talent, intellectual curiosity, and problem‑solving ability are valued above all else.

The Role

Our client is seeking an exceptional Lead Python Engineer to join a small, high‑impact team building complex data pipelines, AI/ML systems, and advanced software solutions. This role combines hands‑on development with technical leadership, including ownership of architectural direction and delivery of business‑critical systems.

The role sits within a business‑facing technology group and works closely with researchers, portfolio managers, and senior stakeholders across the organisation.

Responsibilities

• Lead the design and development of large‑scale data pipelines and AI‑driven systems
• Own and drive architectural decisions across the platform
• Remain hands‑on with production Python code in a high‑quality engineering environment
• Provide technical leadership, code reviews, and mentorship to junior engineers
• Partner with technical and non‑technical stakeholders to deliver impactful solutions

Requirements

• Master's degree or higher in Computer Science, Engineering, or a related technical discipline
• 7+ years of professional Python development experience
• Deep expertise in data engineering, system design, and software architecture
• Expert knowledge of Python and its ecosystem, including Pandas, NumPy, and PySpark
• Proven experience building scalable, maintainable, production‑grade systems
• Cloud experience (AWS, GCP, or Azure) and containerisation (Docker, Kubernetes)
• Strong experience with Git, CI/CD workflows, and agile development practices
• Excellent communication skills, with the ability to articulate complex technical concepts clearly

Nice to Have

• Experience in financial services or trading environments
• Exposure to AI/ML frameworks such as PyTorch or scikit‑learn
• Experience working with LLMs, autonomous agents, or multi‑agent systems

Apply Now!