''Bayes helped me to build the foundations to get my first role, gaining an advantage when it came to quantitative and programming skills.''
Country of origin: Italy
MSc course: Mathematical Trading and Finance
Graduation year: 2017
Why did you choose to study Mathematical Trading and Finance at Bayes Business School?
I chose the MSc in Mathematical Trading and Finance at Bayes to merge my passion for the financial market with my interest to develop and strengthen my quantitative skills. Another main reason was the high quality, tenure and experience of the faculty. Alongside the right mixture of theory and practice of the courses.
During my studies, I had the opportunity to meet classmates from all over the world and different backgrounds. I met people who now work in the City and this allows us to keep an Alumni network after university. Also, Bayes allowed me to build a solid knowledge of programming languages, which later helped me in my professional career.
During my time at university, I met students that are still my best friends after 5 years.
How has your master’s degree impacted your career and your career goals?
I currently work as a Credit Trader at the investment bank arm of Wells Fargo, where I trade corporate bonds, credit derivatives and interest rates products.
Bayes helped me to build the foundations to get my first role, gaining an advantage when it came to quantitative and programming skills. This is especially true in the Fixed Income market, where quantitative skills are necessary to succeed.
What advice would you have for students considering Mathematical Trading and Finance?
My advice would be to leverage the wide Alumni community as much as possible to connect and get the right careers advice. Also, make sure to engage with university societies and seize all the opportunities available to meet new people and learn new skills.