Quantum-Inspired Quant Trading Engineer

Qubitra; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

Qubitra, a fast-growing startup at the intersection of quantum computing and finance, is building a platform for algorithmic trading. You will own the path from research idea to live strategy, building backtests, validation gates, and deployment routes so the research team ships quickly.

You will apply machine learning to strategy development, guard against look-ahead bias, and collaborate across research and engineering to turn ideas into production-ready tooling.

Qualifications

• Three or more years applying quantitative or machine learning methods to financial market data.
• Strong, production-quality Python that other people can maintain.
• Direct experience taking a model or strategy from research into something running live.
• A clear understanding of backtests misleads, and how to design against it.
• Comfort working across teams without formal authority over either.

Responsibilities

• Own the path from research idea to live strategy, and make it faster and more repeatable.
• Build and maintain the backtest, validation and deployment tooling the research team depends on.
• Apply machine learning to strategy development where it outperforms the classical approach, and say so plainly when it does not.
• Guard against look-ahead bias, overfitting, survivorship, and build those guards into the tooling.
• Work with the science team on turning their research into something deployable, and with engineering on making it run.
• Document and hand over, so the machinery outlives you.

Skills

Quantitative ML

Python

Backtesting

Model deployment

Cross-team collaboration

Tools

C++

Rust

CI/CD tooling

Job description

Qubitra, a fast-growing startup at the intersection of quantum computing and finance, is building a platform for algorithmic trading. You will own the path from research idea to live strategy, building backtests, validation gates, and deployment routes so the research team ships quickly.

You will apply machine learning to strategy development, guard against look-ahead bias, and collaborate across research and engineering to turn ideas into production-ready tooling.