At a Glance
- Tasks: Dive into quantum tech, working on cutting-edge projects in cybersecurity and computing.
- Company: Join EY, a global leader in innovation and technology.
- Benefits: Enjoy flexible work, competitive salary, and a comprehensive benefits package.
- Other info: Collaborate with diverse teams and grow your career in a dynamic environment.
- Why this job: Shape the future with quantum technologies and make a real-world impact.
- Qualifications: Background in quantum computing or applied cryptography is essential.
The predicted salary is between 63000 - 77000 £ per year.
At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.
About the Next Frontier:
Applied Innovation's Next Frontier focuses on emerging technologies, including Physical AI, Quantum Computing, and Next-Generation AI amongst others. This initiative translates advanced capabilities into measurable outcomes, helping clients and EY teams improve decision-making, strengthen resilience, and unlock new opportunities through technology-driven solutions.
About the Delivery Team:
EY advances innovation in Quantum by enabling regional quantum labs and supporting business-driven initiatives. The focus is on practical quantum technologies and frameworks that deliver measurable, enterprise-value level benefits.
Position Summary:
The Quantum Associate will work on Quantum Technology initiatives. This role requires background, knowledge, and practical experience with the usability and impact of quantum technologies. There will be 60-70% focus on quantum safety and 30% focus on quantum compute.
Essential Responsibilities of the Job:
- Build & Commercialize: Lead and support development, demos, and presentations of solutions in both quantum cybersecurity and quantum computing domains.
- Quantum Safety: Contribute to the organization’s PQC (post‑quantum cryptography) readiness, including risk assessments, migration planning, and crypto‑agility improvements.
- Quantum Compute: Develop and evaluate quantum algorithms and workflows for optimization, machine learning, and simulation use cases.
- Software Development & Implementation: Build software kits and tools, design and implement architectures, benchmark performance, and employ best practices in software engineering.
- Thought Leadership: Produce clear leadership and sector presentations, assessment reports, standards, and executive‑level documents.
- Teaming: Collaborate with cross‑functional teams including security engineering, ML/AI groups, platform teams, and product stakeholders.
Quantum Specialist Responsibilities:
- Quantum Cyber: Assess quantum‑related risks (e.g., harvest‑now‑decrypt‑later exposure) and contribute to mitigation roadmaps.
- Prototype and benchmark PQC algorithms (e.g., ML‑KEM/Kyber, ML‑DSA/Dilithium) within services and applications.
- Maintain an index of how the current and upcoming proposed algorithms fare fully PQ safe and hybrid versions of the same against operational impacts to recommend appropriate migration roadmaps.
- Support development of crypto-inventory tools to detect legacy cryptography dependencies.
- Implement and test hybrid key exchange schemes and measure performance impacts (latency, throughput, resource usage).
- Assist with design and validation of crypto-agility patterns, certificate lifecycle updates, and key management transitions.
- Contribute to internal PQC migration guides, standards, and runbooks.
Quantum Compute & Algorithms:
- Develop accelerators using NISQ‑appropriate quantum algorithms (VQE, QAOA, QML) and industry SDKs for use cases.
- Run extensive testing and validation exercises to estimate viability, usage and support roadmapping of quantum utility for use cases.
- Build end‑to‑end prototypes for domain‑specific use cases such as optimization, simulations, modeling of Quantum as well as next frontier of Quantum & AI/ML tech.
- Perform resource estimation (qubit count, gate depth, circuit complexity) and evaluate classical–quantum tradeoffs.
- Maintain reproducible experimentation pipelines using Python, Jupyter, containerization, and CI workflows.
Knowledge and Skills Requirements:
- Foundational understanding of quantum computing principles, qubits, gates, NISQ constraints, and error mitigation.
- Working knowledge of post‑quantum cryptography, including KEMs, signature schemes, and cryptographic standards.
- Familiarity with PKI, TLS 1.3, certificate management, and key exchange mechanisms.
- Proficiency with one or more quantum SDKs: Qiskit, Cirq, PennyLane, AWS Braket, Azure Quantum/QDK.
- Strong Python programming capabilities, including numerical libraries (NumPy, SciPy, pandas).
- Understanding of classical optimization, linear algebra, and probabilistic reasoning.
- Experience with version control (Git), containers (Docker), and CI/CD workflows.
- Languages: Python, C++, Rust, or equivalent.
- Strong written and verbal communication skills, with the ability to distill complex concepts for different audiences.
- Analytical thinking and a structured, hypothesis-driven approach to problem solving.
Education & Experience:
- Bachelors or Masters in Physics, Computer Science, Cybersecurity, EE, Applied Math, or related field; or equivalent hands-on experience.
- 2-3+ years of hands-on experience in at least one of the following areas: Post quantum cryptographic implementations, Applied cryptography or security engineering, Quantum algorithm development.
- Experience in quantum technologies, cryptography, or related computational fields is a plus.
- Publications, preprints, hackathon projects, or open-source contributions in quantum or applied security are highly desirable but not required.
- Familiarity with Cybersecurity fundamentals (public-key crypto, KEMs/signatures, TLS, PKI concepts).
- Understanding of post-quantum cryptography basics and current standardization landscape.
- Experience with at least one quantum SDK (e.g., Qiskit, PennyLane, or Azure Quantum QDK).
- Ability to design small experiments, analyze results, and write clear technical documentation.
What we offer you:
- Career development: At EY, your career is yours to shape! We’ll develop you with future-focused skills and equip you with world-class experiences.
- Flexible work arrangements: Our flexible work policies empower you to balance your professional and personal life, fostering a culture of trust and autonomy.
- A comprehensive benefits package: From a yearly wellness incentive to access to additional 8 weeks of flex leave per year, and family-friendly policies, including 26 weeks of gender-neutral paid parental leave, we cater to your diverse needs to help you thrive both personally and professionally.
- Salary: We offer a competitive salary which is open to negotiation pending on skills and experience.
EY acknowledges the Traditional Owners and Custodians of the lands on which EY offices are located around Australia. We pay our respects to their cultures, and to their Elders — past, present, and emerging.
Diversity, equity, and inclusiveness (DE&I) are core to who we are, how we work and how we live our values. We encourage applications from people of all ages, nationalities, abilities, cultures, sexual orientations, and gender identities and are committed to providing an equitable and barrier-free recruitment experience for all.
Are you ready to shape your future with confidence? Apply today.
Next Frontier Quantum Associate in London employer: EY (Ernst & Young)
At EY, we pride ourselves on being an exceptional employer, offering a flexible working environment that empowers our employees to thrive. Our diverse and inclusive culture fosters collaboration and innovation, while providing ample opportunities for professional growth and development. Join us in London and be part of a globally connected team dedicated to building a better working world through cutting-edge technology and client-focused solutions.
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We think you need these skills to ace Next Frontier Quantum Associate in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at EY (Ernst & Young).
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How to prepare for a job interview at EY (Ernst & Young)
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If EY (Ernst & Young) uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
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While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.