During my internship at GResearch my role focused on openended research I was tasked with autonomously exploring solutions to complex problems with regular feedback sessions with my project mentor to refine my approach and findings
The program consisted of informative lectures and handson workshops pertaining to machine learning topics finance and statistics as well as an introduction to the paths and daytoday of working in a financial institution
I joined a team within GResearch as a software engineer On a daytoday basis I was working on my personal project either through the development of software or communications with stakeholders
Each day we had classes focused on programming machine learning statistics We also attended talks by fulltime employees discussing their roles in the company In the evenings we engaged in social activities with other participants
I was heavily involved in organising GResearch case studies across the globe supporting the team with the recruitment process for the Spring Insights Week and finding good candidates on Linkedin for their other positions I also was given the chance to
The program included workshops lectures and presentations networking opportunities and other activities including an Ebike tour Each day started with a breakfast buffet and ended with a nice dinner together with the other participants including quan
On a day to day basis we coded in pandas so we could see first hand the volatility of cryptocurrencies We spent the week with the experienced technology team who took us through how to complete our tasks and also spoke to us about their responsibilities
The insight week was an incredible experience that offered a wellrounded learning journey One of the highlights was the chance to connect with people from diverse backgrounds Through interactions with others I gained a deeper understanding of differen
We had lots of workshops and activities covering a diverse range of subjects from maths and programming to finance and ML
The software engineering work experience was 4 days long and consisted of us going into the office in Soho London We did different activities such as programming in python and used different libraries such as Pandas Seaborn and Matplotlib We also got
We attended interactive workshops on technical topics like financial markets coding and machine learning as well as talks by GResearch employees covering NLP and life at GResearch There were also fun networking dinners and social events to get to kn
Each day a senior member of the company gave a talk about the company and its various aspects We also participated in three workshops on finance statistical programming and machine learning In between the sessions during mealtime and after the prog
Breakfast ice breakers a quant challenge talks on GResearch and time for networking Lots of free time three insight sessions on programming machine learning and finance
Each day had several talks insight sessions with members of GResearch These were focused on finance stats programming and artificial intelligence There was also a longer session dedicated to machine learning In the evening there was social time and
Gained an insight into the quantitative finance industry through workshops and presentations on topics including statistics finance machine learning and NLP
The spring week was very insightful The sessions were well structured giving attendees a clear picture of the quantitative finance industry and the role GResearch plays in it The deep dive sessions in coding finance and statistics were also good fun
We had about 4 hours of lessons every day and fun activities during the rest of the day
Learned about quantitative finance Course on stats finance and programming with an introduction on ML and NLP and their application in quant finance
Workshops Networking Lectures
The week involved talks from senior GResearch staff including the CEO workshops on pure ML ML for finance and pure finance and ample networking over dinner drinks and at the poolside The event was held at a beautiful 5 hotel in Nice in the south o
