Of course. Data science involves a large number of mathematical and statistical methods, including probability theory, linear algebra, optimization theory, regression analysis and so on. Financial mathematics usually involves complex mathematical models and algorithms, and these mathematical knowledge is also a very important foundation in financial mathematics. There are both connections and similarities between these two disciplines.