
Quantitative Technologist – Treasury Analytics
Qube Research & Technologies1 month ago
London, United KingdomMid Level / Senior
Responsibilities
- Design, develop, and maintain production-grade analytical and trading applications for the Treasury Desk.
- Build analytics to optimize Treasury trading decisions across asset classes.
- Translate Treasury stakeholder requirements into scalable technical solutions.
- Onboard and integrate datasets for trade idea generation, financing analysis, and decision-making.
- Design software architectures and data solutions integrating Treasury data with QRT’s broader technology platform.
- Improve analytics platform performance, read latency, and scalability.
- Develop real-time analytics and AI-enabled agent workflows.
- Contribute across solution design, implementation, testing, deployment, and production support.
- Improve engineering standards, technical architecture, and development practices.
Requirements
- 3–5 years of experience as a Quantitative Developer, Quantitative Technologist, or in a similar role.
- Strong quantitative skills and understanding of financial markets.
- Good knowledge of fixed income products and markets.
- Experience designing, building, and supporting production-grade software systems.
- Strong understanding of software architecture, object-oriented design, and software design patterns.
- Strong database knowledge, including indexing, partitioning, caching, and query optimization.
- Comfort contributing across the full software development lifecycle.
- Ability to communicate and collaborate with technical and business stakeholders.
- Experience or willingness to learn statistics, quantitative modeling, or financial analytics.
- Experience or willingness to learn cloud-native technologies, real-time data processing, financial data infrastructure, AI-assisted software development tools, or Treasury and financing systems.
Benefits
- Equal opportunity employer with a stated commitment to diversity and respectful collaboration.
- Initiatives and programs supporting employee health and work-life balance.
Tech Stack
Categories
BackendData Engineering