Capital Markets Trading
Quantitative Developer (Data & Analytics)
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Quantitative Developer
Capital Markets Trading is a global proprietary trading and investment firm with offices in Frankfurt, London, and Chicago. We are seeking a Quantitative Developer to join our small, highly capable global technology team.
This is an on-site role based in either our London or Frankfurt office.
What You’ll Do
- Develop the data pipelines and analytics that turn our pricing and risk models into the numbers our traders rely on, including volatility surfaces, PnL, and Greeks.
- Support back-office systems and workflows, including trade reconciliation, PnL analysis, regulatory reporting, and operational processes.
- Build distributed, high-performance systems using industry-standard open-source technologies.
- Collaborate closely with traders, quantitative researchers, and engineers to take ideas from prototype through to reliable production services.
What We’re Looking For
- A bachelor’s degree in Computer Science, Statistics, Mathematics, or another quantitative field.
- The ability to write clean, maintainable code, supported by some experience developing real-world software.
- Strong problem-solving skills and the ability to learn whichever language or technology a task requires. We use Python extensively, but care more about how you think than what you already know.
- Confidence working with data and investigating performance, reliability, or data-quality issues.
- An AI-native approach: you use modern AI tools thoughtfully to explore ideas, reason through problems, and work more effectively.
- Practical experience working with large datasets, columnar or Parquet-based data, and data-pipeline orchestration.
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Nice to Have
- A master’s degree or PhD in Computer Science, Statistics, Mathematics, or another quantitative field.
- An understanding of options-pricing fundamentals, including Greeks, implied and local volatility, and volatility surfaces.
- Experience with technologies such as Airflow, Metaflow, DuckDB, PyArrow, or distributed batch-compute frameworks.
- Experience with C++, Rust, or Go; gRPC; or distributed-system design.
- Experience building services backed by databases and running them in Kubernetes environments.
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Our Interview Process
Our interview process is designed to give you the opportunity to solve interesting problems and work collaboratively with members of the team. It typically consists of four stages: an initial screening conversation followed by two or three technical and problem-solving interviews.
CMT is an equal opportunities employer. We celebrate diversity and are committed to creating an inclusive workplace for all employees. Employment is subject to the successful candidate having the right to work in the relevant location. Candidate information will be processed in accordance with our Privacy Notice.
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