Quant SME - Contract - 5 days per week on site in London - £950-1000 per day via Umbrella

Quant SME - Contract - 5 days per week on site in London - £950-1000 per day via Umbrella This role is 5 days per week on site in London £950-1000 per day via umbrella Experience: Exposure to Thomson Reuters, Bloomberg applications, Excel Add-ins, etc. Hands-on experience in computing multi-asset portfolio statistics Building/maintaining a Python library (not app work): packaging, versioning, releasing a package that downstream services depend on. This is the core of the job. Time-series data engineering with pandas at scale (multi-index frames, frequency alignment, currency/tenor handling). pandas is the entire data plane here. Snowflake/data-warehouse experience: writing SQL against curated vendor tables, EAV vs wide-table schemas. This is how all market data actually arrives - not via Bloomberg/Reuters terminals directly. Vendor data onboarding (FactSet, EODHD, Macrobond, Albourne-style feeds) - mapping vendor schemas into a canonical model. Skills: Strong Python 3.11+: dataclasses, type hints, pydantic v2 not just "knowledge of Python." Set a clear bar (mid/senior). Parser/AST/interpreter design this is a DSL. Comfort with tokenizing, expression trees, immutable AST nodes, and a parse validate execute pipeline is the single most repo-specific skill. pandas + numpy/scipy proficiency (statsmodels, scikit-learn for the analytics extra). GitLab CI/CD specifically (pipelines, not just "use gitlab"): the repo runs lint test build publish stages. Testing discipline: ..... full job details .....