Personally, I think it is not suitable. Financial mathematics is an interdisciplinary subject, which mainly needs finance, mathematical modeling and programming. The latter two are just the key points. Finance only needs to understand the mechanism, make clear what your goal is, understand the products in your hand, and understand what financial products in the market can do.

Mathematical modeling is so important for asset management, risk management and investment strategy. If the math foundation is not solid, it may be impossible to start at all. For example, derivatives pricing, you use financial knowledge to understand the mechanism of this derivative, how to correctly price? If your price is higher than the market price, you can buy it, if it is lower than the market price, you can short it, and the correct price can arbitrage. If you are wrong, you will lose money. Everything is based on the fact that your pricing model is roughly correct.

With modeling, programming carries out large-scale operations. When to buy, when to sell, what to calculate, these are not manual, but codes, which are necessary for financial mathematics. Mainstream programming software C++ and Python, at least proficient in one.

Therefore, liberal arts background may have some advantages for financial knowledge, but it can be said that it is a disadvantage for the latter two. If the latter two are shortcomings, I don't recommend choosing financial mathematics. Pure finance is more suitable.