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:
[Confidential Information]
