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Join us as a Quantum Computing Researcher in the Emerging Technologies team within the Chief Technology Office, to help drive pioneering quantum across the bank. In this new role you'll apply quantum algorithms and quantum machine learning to solve multi-layered financial tasks. You’ll have the chance to work at the forefront of quantum technologies that are reshaping the future of Financial Services.
Job Responsibility:
To design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues
Development and delivery of high-quality software solutions by using industry aligned programming languages, frameworks, and tools. Ensuring that code is scalable, maintainable, and optimized for performance
Cross-functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives
Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing
Stay informed of industry technology trends and innovations and actively contribute to the organization’s technology communities to foster a culture of technical excellence and growth
Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions
Implementation of effective unit testing practices to ensure proper code design, readability, and reliability
Requirements:
Quantum computing fundamentals, mathematics and statistics: Good understanding of quantum mechanics values, quantum gates, circuits and algorithms
solid grasp of linear algebra, multi-layered numbers and quantum information theory
ability to design and implement quantum circuits for practical applications
Programming and quantum development: Proficiency in Python and experience with quantum computing frameworks
ability to write and test quantum algorithms
understanding of hybrid quantum-classical computing approaches and how to integrate quantum solutions with classical infrastructure
Problem-solving and algorithm design: Ability to identify problems suitable for quantum computing, translate business requirements into quantum algorithms, and evaluate quantum advantage against classical approaches
experience with optimisation, simulation or machine learning use cases
Communication and collaboration: Facilitate discussions between quantum research teams, engineering stakeholders and business users
explain multi-layered quantum concepts to non-technical audiences
ability to document approaches clearly and contribute to knowledge sharing across the organization
Nice to have:
Experience with quantum platforms and tools: experience with Qiskit, Cirq, PennyLane or other quantum SDKs
exposure to quantum simulators and noise modelling
Financial services domain knowledge: Understanding of financial use cases for quantum computing such as portfolio optimization, risk evaluation, derivative pricing or fraud detection
awareness of regulatory and security considerations in financial technology
Advanced quantum topics: Knowledge of quantum error correction, fault-tolerant quantum computing, or quantum cryptography
experience with variational quantum algorithms (VQE, QAOA) or quantum machine learning techniques
Research background and continuous learning: Peer-reviewed publication record in quantum computing or related fields
postgraduate qualification in physics, mathematics, computer science or related discipline
active engagement with quantum computing community through conferences or open-source contributions