Location: London
About the Role
Join a small, high-impact team responsible for the firm’s most critical datasets — including corporate actions, fundamentals, and index membership data. Rather than chasing breadth, this team focuses on data depth: building a clean, unified, and intelligent data layer that underpins all major decisions across the business.
We build distributed pipelines to ingest, clean, and expose daily datasets to internal teams. This is an engineering-first team with strong autonomy — ideal for someone who enjoys taking ownership of data quality, system design, and intelligent automation.
What You’ll Do
- Own and improve automated data ingestion and processing pipelines
- Design and maintain distributed systems for reliable, scalable data access
- Identify and fix data anomalies using statistical and algorithmic approaches
- Collaborate directly with internal users across research, trading, and operations
- Anticipate future data needs and help evolve a minimal, robust data schema
Hard Requirements
- Strong coding skills in a statically typed language (e.g. Go, Java, C++)
- Solid background in distributed systems and relational databases
- Comfortable with data analysis; knowledge of statistics or ML is a plus
- Proactive problem-solver with a deep sense of ownership
Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.