Quantum Finance Algorithms Scientist

Qubitra; Greater London; On-site; GBP 90,000 - 150,000; Full time

Job summary

Qubitra, a fast-growing startup at the intersection of quantum computing and financial services, seeks a foundational scientist to steer algorithmic direction. You will conduct deep research into classical and quantum methods, design hybrid approaches, and prototype strategies for financial institutions.

You will own algorithmic development in areas like trading, market making, risk analytics, derivatives pricing, and fraud detection, translating research into real-world platform features.

Qualifications

• MSc or PhD in Mathematics, Physics, CS, or Quantum Computing
• Strong knowledge of quantum mechanics, circuits, and qubit systems
• Fluency in Python with NumPy/SciPy/Pandas
• Hands-on experience with at least one quantum programming framework
• Ability to communicate complex research and publish findings

Responsibilities

• Quantum & Classical Algorithm Research for finance applications
• Design, prototype, and benchmark quantum algorithms for finance (QML, QUBOs, optimization)
• Explore hybrid quantum‑classical workflows and error mitigation techniques
• Develop scalable algorithms suitable for near‑term quantum hardware (NISQ)
• Translate research into platform features with engineering teams
• Contribute to publications, blogs, or conference papers

Skills

Quantum computing

Python

ML theory

Research methods

Technical communication

Education

MSc or PhD in Mathematics, Physics, CS, or Quantum Computing

Tools

Qiskit

Cirq

Q#

Job description

Qubitra, a fast-growing startup at the intersection of quantum computing and financial services, seeks a foundational scientist to steer algorithmic direction. You will conduct deep research into classical and quantum methods, design hybrid approaches, and prototype strategies for financial institutions.

You will own algorithmic development in areas like trading, market making, risk analytics, derivatives pricing, and fraud detection, translating research into real-world platform features.