Quant Platform Engineer - Python

About the role

Develop and modernise Python-based research and analytics platforms, scalable infrastructure, and large-scale data solutions supporting quantitative research and investment decisions. Collaborate with researchers and technology stakeholders in London and New York, promote engineering best practices, and take increasing ownership of the platform. Requires strong Python engineering skills, experience building data, analytics, or research platforms, and exposure to financial markets and large-scale data environments. Candidates should also have experience with distributed systems or related architectures and strong collaboration skills; quantitative platform experience and tools such as Spark, Apache Beam, or Snowflake are desirable.