🧠 Role Overview

We’re looking for a quantum-aware financial modeler to design a real-world optimization problem for our MVP PoC — focused on the financial sector. This role is foundational: you’ll define the optimization scenario (e.g., portfolio variance reduction) and translate it into a format compatible with quantum algorithms like QAOA or Ising models.

🔧 Responsibilities

• Design a realistic, solvable financial optimization problem suitable for quantum execution
• Work with the team to define parameters, constraints, and objective functions
• Ensure the model is translatable into Qiskit-compatible quantum operators (e.g., Ising Hamiltonian)
• Document the logic and provide example inputs/outputs for testing

✅ Requirements

• Experience in financial modeling or quantitative finance
• Understanding of optimization problems (e.g., Markowitz model, asset allocation)
• Basic familiarity with quantum computing concepts (or willingness to learn)
• Ability to deliver a minimal but real-world-relevant model with clear logic

🧩 Bonus (Not Required)

• Experience with Qiskit/QAOA or Ising problem mapping
• Academic background in finance or operations research