Quantum AI | Navigating complexity. Enabling advantage
CAREERS | Job Opening
Quantum Algorithm/Research Lead
Position Summary
Lead the research, design, and validation of quantum and quantum-inspired algorithms for optimization, machine learning, and financial applications. The role is responsible for translating real-world business problems into mathematically rigorous formulations suitable for execution on quantum hardware and hybrid quantum-classical systems.
Key Responsibilities
Quantum Optimization Research
- Develop formulations for:
- Portfolio optimization
- Asset allocation
- Risk management
- Trading and execution optimization
- Treasury and liquidity optimization
- Convert business problems into:
- QUBO
- Ising models
- Constrained optimization problems
Algorithm Development
- Design and test:
- Quantum Approximate Optimization Algorithm (QAOA)
- Variational Quantum Algorithms (VQA)
- Quantum Annealing approaches
- Tensor-network methods
- Hybrid quantum-classical optimization workflows
Financial Modeling
- Work with investment teams to:
- Define objectives and constraints
- Build optimization frameworks
- Measure risk-adjusted performance
- Benchmark quantum vs classical solutions
Quantum Hardware Evaluation
- Evaluate suitability of:
- Pasqal
- D-Wave Systems
- IonQ
- IBM Quantum platforms
- Run experiments across different architectures
- Analyze performance and scalability
Research Leadership
- Lead research roadmap
- Publish white papers
- Develop patents and IP
- Supervise researchers and interns
- Build relationships with universities and research institutions
Education
Preferred:
- PhD or Master's in:
- Quantum Computing
- Physics
- Mathematics
- Computer Science
- Operations Research
Location
- Singapore
