full-time
Quantitative Data Engineer
TS Imagine
- Employer
- TS Imagine
- Location
- London
- Working pattern
- on-site
About the role
Collaborate with Quant Developers to optimize data pipelines and analytics infrastructure, and build scalable applications that process financial datasets for pricing models and real-time market risk calculations across asset classes. Document data methodologies and ensure the accuracy, performance, and reliability of quantitative data solutions. A master’s degree or PhD in mathematics, physical sciences, or engineering is preferred, along with 3–5 years of experience in large-scale Python development, SQL, and data-intensive products. Candidates should understand financial derivatives and market conventions, and have experience with financial data structures such as yield curves and volatility surfaces; C++ or Java and risk-management tools are also relevant.