"The MSc in Financial Mathematics was key for my professional career in order to enter into a quantitative analysis role in very competitive London financial market."
Country of origin: Italy
MSc course: Financial Mathematics
Graduation year: 2007
Could you tell us a bit about yourself?
I’m currently a Solution Engineer for software technology company Yields.io. We leverage an award-winning data science platform, Chiron, to streamline the model lifecycle and turn Model Risk Management into a value driver.
Before Yields I worked for various banks across different geographies in model related roles. My professional career started as a quantitative analyst consultant in 2007.
The MSc in Financial Mathematics was key for my professional career in order to enter into a quantitative analysis role in very competitive London financial market.
I’ve also been teaching as a visiting lecturer at Bayes Business School since 2010. Over the years I’ve taught courses to quants students of the various MSc’s (Quant Finance, Financial Maths and Mathematical Trading and Finance).
What motivated you to study MSc Financial Mathematics at Bayes?
Iwanted to spend some time abroad studying financial applications of mathematics. It is an interest that became more pronounced in the last couple of years of my undergraduate Economics studies when further emphasis was given to financial markets.
A PhD student and friend of mine had suggested to apply as he had a very positive experience during his research collaboration with a professor at City, University of London.
Without a doubt my favourite modules were the ones related to stochastic calculus taught by (now Reader) Dr Laura Ballotta.
What advice would you have for students considering MSc Financial Mathematics at Bayes?
Ask lots of questions at all times. Make sure you have a deep understanding of the subjects, but most of all, explore the various practical applications of the very important theoretical notions that you’re taught.
This is what makes you stand out amongst the competition.