https://jobs.co.uk/job/quant-sme-contract-5-days-per-week-on-site-in-london-950-1000-per-day-via-umbrella-robson-bale-ltd--bcf423fb-628e-42a5-b779-c2c60559b105 RSS feed for Quant SME - Contract - 5 days per week on site in London - £950-1000 per day via Umbrella at Robson Bale Ltd. en-gb Tue, 13 Oct 2026 18:50:21 GMT https://jobs.co.uk/job/quant-sme-contract-5-days-per-week-on-site-in-london-950-1000-per-day-via-umbrella-robson-bale-ltd--bcf423fb-628e-42a5-b779-c2c60559b105 https://jobs.co.uk/job/quant-sme-contract-5-days-per-week-on-site-in-london-950-1000-per-day-via-umbrella-robson-bale-ltd--bcf423fb-628e-42a5-b779-c2c60559b105 Tue, 13 Oct 2026 11:51:56 GMT Location: London | Salary: 10000-500000 Daily | Type: Contract | 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,... Contract