Risk Charts, Analytics
The charts below are all created using a combination of python and matplotlib. Actual excel reports are created using the excellent win32all library. Most market data comes from Bloomberg. Position & risk data come from various trading systems of record (there are many of them), and I have blurred out anything important and kept everything out of date.
This is a daily dashboard created using publically available market data. It's fairly simple, but the 'sparkchart'-type graphs allow you to get a quick overview about how different segments of the markets have been moving. Also useful for leaving on your desk or bringing to meetings in order to intimidate people.
Another favorite, and one of the earlier automated charts I created. Shows multiple dimensions of risk due to a certain type of non-vanilla option: 1) where option expiration is relative to the current market (time and strike) and 2) size of the potential payout (bubble size and color).
Impact on a book of non-parallel shocks in the 3M LIBOR/Swap curve. Shocks are scaled across maturities by standard deviation.