Computer Science, Hong Kong University of Science & Technology
Data Analyst, Bloomberg
What work experience/internships did you have before beginning with Imperial College Business School?
During my undergraduate, I took on two internships to help me understand what areas I’m interested in, as well as give myself a competitive edge for job interviews. The first one was a six month long industrial placement programme at HSBC in Hong Kong. I worked in the Private Banking team and the technology division within that. The second was as a Technology Summer Analyst at UBS in Hong Kong. This experience was invaluable as the 10-week long internship comprised of various events as well as individual and group projects.
Why did you decide to study an MSc Risk Management & Financial Engineering at Imperial College Business School?
I first started thinking about studying an MSc Risk Management & Financial Engineering programme during my internship at UBS. I realised that while I quite enjoy programming, I lack comprehensive insights into the financial industry. Researching and talking to friends studying in the UK, I found out that Imperial offers fantastic mathematics and technological combinations and has some of the brightest minds studying at the Business School. Plus, one thing that caught my attention was the Careers service at Imperial and how they really prepare you for the job-hunting process.
Which has been your favourite module so far and why?
My favourite module so far has been Financial Engineering. The Stochastic Calculus module in the first term really helped me understand the theoretical aspects, and I saw the Financial Engineering module as a more practical application of it.
What has been the most challenging part of the programme?
The most challenging part of the programme was balancing the job applications with four core modules and my social life. Everyone tells you it’s going to be hard before you join, they just don’t say how hard. I’d advise you make sure that you are prepared for job applications before the September modules kick in, it will help you stay on top of things.
How would you describe your cohort at Imperial?
My cohort at Imperial this year are fantastic! Right from week one, I met students who I instantly connected with in terms of ambition and social aspects. I really believe having a strong cohort makes a substantial difference in terms of assimilating with the programme, especially early on.
Did you have a favourite professor/lecturer and why?
My favourite Professor is Tarun Ramadorai from the Big Data module that I took in the spring term. He has a very engaging teaching style, with easy to follow examples of complicated topics.
What has been the greatest opportunity you have had at Imperial?
I would say being part of the Student Investment Fund has been the greatest opportunity that I have had at Imperial. For prospective students, look it up and join!
What clubs, societies or other activities have you been involved in at Imperial?
I’m currently a Student Ambassador for the Business school and I help at recruiting events. I’m also part of the Student Investment Fund, which has really grown this year.
Have you received any job offers since commencing your programme?
I received two job offers since the beginning the programme. The first was as a Graduate Software Developer role within the Quants team at Commerzbank. The second was a role as a Data Analyst at Bloomberg. I’m happy to say that I have accepted the Bloomberg offer and will be joining this August.
How did the services from Careers help in your professional development/securing employment?
The Careers team at Imperial is absolutely fantastic! Right before I even arrived at Imperial, I was in touch with them via Skype. The Careers team really helped me better frame my CV, cover letter and provided me with various mock interviews of varied types.
Where do you live in London and why did you choose to live there?
I live in Hammersmith, in student accommodation It’s only a 10-minute tube to the Business School, which is convenient for early morning lectures.