Mathematically intense jobs in finance?
Posting in HF as I imagine the answers will be here, or at least the people here will know.
I find a lot of traditional accounting/finance super boring. I would struggle doing it for 40 hours a week let alone longer.
I find markets more interesting, but not sure if I could do it long term.
I have found I need something engaging to stay happy and productive. Studying Mathematics and Computer Science.
I’m at a target, hopefully getting a 1st, but don’t feel cut out for quant jobs (at least trading). I don’t want to seem un ambitious - I am. But by the time I graduate, the market will be saturated 2 years more, and I don’t have any olympiads under my belt. I just enjoy Maths. Of course I will try my hardest, but looking for a range of work.
I’ve considered S&T, as whilst it isn’t as mathematical, I’ve heard it stimulates a similar feeling of ‘problem solving’.
Aside from this, what options do I have? I’m thinking pursuing further education (and going for quant research) or perhaps going for a quantitative role in middle office.
What other options do I have?
In terms of Geography, happy working anywhere in Europe (the quieter the better), and the US. Not that it should matter?
Based on the context, here are some suggestions for mathematically intense jobs in finance:
Quantitative Analyst: This role involves using complex mathematical and statistical models to calculate risks and make predictions about financial markets. It's a challenging role that requires a strong mathematical background.
Financial Engineer: This role involves creating new financial instruments and strategies using advanced mathematical models. It's a role that requires a deep understanding of both finance and mathematics.
Risk Analyst: This role involves assessing the potential risks involved in investment decisions. It requires a strong understanding of mathematical models and statistical analysis.
Actuary: This role involves using mathematical and statistical methods to assess risk in insurance, finance, and other industries. It's a role that requires a strong mathematical background.
Data Analyst: This role involves interpreting complex numerical data to help companies make decisions. It requires a strong understanding of statistical methods and data analysis techniques.
Remember, networking is crucial in the finance world. It's a small world and knowing the right people can open up many opportunities. Also, keep in mind the increasing importance of technology in finance. As technology infiltrates finance, the need for engineering and quantitative skills grows. Universities are now revising their curriculum to adapt to this tech disruption in the finance job market.
Lastly, don't forget about the importance of passion. Finding a field you have the most interest in can help you generate your own success.
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