Quantum Computing Engineer (Financial Services Experience Required)

Quantum Computing Engineer (Financial Services Experience Required) Location: Remote / Hybrid (India) Employment Type: Full-Time Industry: Financial Services | AI & Advanced Computing About the Company India-based deep technology startup building advanced AI, quantum, and intelligent computing solutions for global enterprises. We work with US-based clients and innovation-driven organizations to solve high-impact business challenges using next-generation technologies. We are building a world-class team focused on practical innovation, scalable engineering, and real-world business outcomes across financial services, optimization, AI, and computational intelligence.

Role Overview We are looking for a highly skilled and research-oriented Quantum Computing Engineer to design, develop, and evaluate quantum and quantum-inspired solutions for complex financial and computational problems. This role requires a strong balance of: Quantum computing expertise Applied mathematics and optimization Financial systems understanding Production-grade software engineering Research and experimentation mindset The ideal candidate should be comfortable working in high-ambiguity environments, collaborating with multidisciplinary teams, and translating theoretical quantum concepts into practical business applications. You will work closely with quantitative analysts, AI engineers, researchers, and financial domain experts to build next-generation solutions in areas such as: Portfolio optimization Risk analytics Derivatives pricing Trading and operations optimization Fraud and anomaly detection Scenario simulation and predictive modeling Key Responsibilities Quantum Algorithm Development Design, implement, test, and benchmark advanced quantum and hybrid quantum-classical algorithms, including: Variational Quantum Eigensolver (VQE) Quantum Approximate Optimization Algorithm (QAOA) Quantum Annealing and Ising formulations Quantum Monte Carlo methods Amplitude Estimation techniques Quantum optimization and combinatorial problem-solving approaches Evaluate algorithmic performance and compare quantum approaches against classical baselines.

Financial Use Case Development Apply quantum computing techniques to solve practical financial challenges, including: Portfolio optimization and asset allocation Risk analysis (VaR, CVaR) Derivatives pricing and simulation Optimization in trading systems and settlement workflows Fraud detection and anomaly analysis Optimization under uncertainty and stochastic systems Translate business requirements into mathematical models and quantum-ready formulations. Engineering & Experimentation Develop scalable and production-oriented quantum experiments and simulation environments using Python and modern engineering practices. Responsibilities include: Building hybrid quantum-classical workflows Integrating with HPC, cloud, and AI/ML systems Running experiments on quantum hardware and simulators Working with IBM Quantum, IonQ, Rigetti, D-Wave, AWS Braket, or equivalent platforms Noise analysis, error mitigation, and performance tuning Creating reusable frameworks, APIs, and research prototypes Research & Innovation Stay updated with advancements in: NISQ-era quantum computing Error mitigation and fault tolerance Quantum machine learning Quantum optimization Quantum software compilation and orchestration Contribute to: Internal R&D initiatives Technical whitepapers and documentation Research prototypes and proof-of-concepts Collaboration with academia, vendors, and cloud providers Required Qualifications Education MSc or PhD in: Quantum Computing Physics Computer Science Mathematics Engineering Computational Sciences Or related fields Exceptional industry experience may substitute for advanced academic qualifications.

Technical Skills Strong understanding of: Quantum mechanics Quantum information theory Linear algebra Probability and statistics Optimization techniques Numerical methods Classical algorithms and computational complexity Hands-on experience with one or more quantum SDKs/frameworks: Qiskit PennyLane Cirq AWS Braket Ocean SDK TensorFlow Quantum Q# (preferred but optional) Strong programming skills in: Python Scientific computing libraries Data structures and algorithms Experience with: Git/version control API integrations Linux environments Research-grade experimentation workflows Required Quantum Experience Practical experience in: Variational algorithms Hybrid quantum-classical workflows Quantum hardware limitations and constraints Noise and decoherence handling Qubit connectivity and compilation challenges Quantum circuit optimization Ability to critically evaluate when quantum computing is beneficial versus when classical solutions are more practical. Preferred Qualifications Candidates with one or more of the following will be highly preferred: Experience in financial services, fintech, or quantitative research Knowledge of: Portfolio theory Stochastic processes Financial derivatives Optimization methods Experience with cloud platforms: AWS Azure Google Cloud Familiarity with: High-performance computing (HPC) Distributed systems GPU computing AI/ML pipelines Prior research publications, patents, or open-source contributions in quantum computing or advanced computational systems Soft Skills & Mindset We are looking for candidates who are: Strong analytical and systems thinkers Comfortable in fast-moving startup environments Curious, research-driven, and experimentation-oriented Excellent problem solvers with pragmatic execution ability Able to communicate complex technical concepts clearly to both technical and non-technical stakeholders Focused on real-world business impact rather than purely theoretical exploration What You’ll Work On You will have the opportunity to contribute to: Real-world quantum finance applications Hybrid AI + Quantum systems Advanced optimization platforms Research collaborations and innovation programs Enterprise-grade experimental systems Next-generation computational architectures Why Join Us? You’ll work at the intersection of: Quantum Computing Artificial Intelligence Financial Engineering Advanced Research Enterprise Innovation This is an opportunity to help shape practical quantum solutions for global clients while working alongside a highly ambitious and innovation-focused team.

Compensation Competitive compensation based on experience, expertise, and research background. How to Apply Interested candidates can share: Updated Resume/CV GitHub / Research Profiles Publications / Patents (if applicable) Relevant project portfolio or case studies Applicants can send their profiles to: