The paper investigates the influence of oil prices on both conventional and Islamic bank profitability and risks in Indonesia by using the time series model for the period of 2013.08-2019.12. We employ autoregressive distributed lags (ARDL) bounds testing approach and Johansen- Juselius Cointegration Test to determine the long-run relationship between the variables, before utilizing ARDL and dynamic ordinary least square (DOLS) to determine the long-run estimation. We establish that oil price movements have similar effects on both the conventional and Islamic banks risk, with a a greater influence on Islamic banks. The authors also note that conventional banks risk is heavily influenced by the benchmark interest rate set by Bank Indonesia. Lastly, error-correction modeling is utilized to obtain the short-run dynamic. In this case, policy rate affects profitability in both banks. The influence, however, is different for the two in the short run. While policy rate has a negative influence on Islamic banks, it influences positively on conventional banks before it turns negative. The result implies that individual bank characteristics explain a substantial part of the within-country variation in rate and net profitability.