Hey Giiovanna.

Under squared loss, the best estimator is always the mean (its a standard result).

Hint: Take a look at the conjugate prior for a hyper-geometric distribution and use this to form your prior. Once you have your prior*likelihood distribution you can use this to get your posterior and then your mean from this distribution.