  We present a novel use case for quantum computation: the sensitivity analysis
for a risk model used at Deutsche B\"orse Group. Such an analysis is
computationally too expensive to perform on classical computers. We show in
detail how the risk model and its analysis can be implemented as a quantum
circuit. We test small scale versions of the model in simulation and find that
the expected quadratic speedup compared to the classical implementation used at
Deutsche B\"orse Group can be realized. Full scale production usage would be
possible with less than 200 error corrected qubits. Our quantum algorithm
introduces unitary but imperfect oracles which use Quantum Amplitude Estimation
to detect and mark states. This construction should be of general interest and
we present theoretical results regarding the performance of Grover's search
algorithm with imperfect oracles.
