Lead Data Scientist - Treasury Markets Quant
- Hiring Organisation
- Wise
- Location
- Greater London, United Kingdom
- Employment Type
- Full Time
production infrastructure Experience with streaming systems, real-time data pipelines, or event-driven architectures (Kafka, Flink, Redis etc.) Quantitative background - maths, physics, engineering or finance - you can read a model and reason about correctness Experience with testing, monitoring, and debugging complex systems under load A product mindset - you think about … work cross-functionally with other quants, analysts, traders, product managers and engineers It’s a bonus if you are familiar with FX or financial markets experience Term structure modelling, stochastic calculus or Monte Carlo methods Interest rate curve bootstrapping Algorithmic execution experience Data lake or warehouse experience (Snowflake, Iceberg, Spark ...