I was an intern in the high frequency trading team I was given tabular data of finance data and had to create Machine Learning models to create a trading strategy by detecting signal in the data
On a daytoday basis the role involved conducting independent quantitative research having regular meetings with mentors to discuss progress participating in career development workshops and attending regular lecture series on interesting topics in f
Working closely with the team you are placed in on their owned products or on a project you are given to tackle over the 12 weeks Constantly engaging with people across the company organising meetings and gathering as much knowledge as possible so you a
The program was a fully packed week at a hotel in the south of France It involved lectures from quants on various topics such as their day to day life and the use of NLP in their work There was also handson workshops on finance machine learning and
A daytoday basis at GResearch was an optimistic environment it was very embracing especially from each and everyone of the employees throughout the company from the moment I stepped into the building all the way to the moment I had left the building
My role included adhoc tasks like answering emails and messages from employees with questions about events and communicating with suppliers and event planners to get everything arranged for company events I also sourced and wrote content for five socia
I was tasked with researching and developing a solution to some inefficiencies in an internal system Along with this I was expected to regularly meet with project stakeholders to provide updates and get guidance
My role was improving part of the research workflow for Quants in order to reduce wasted timeeffort As a result increasing research output
I supported the talent development team by liaising with external training vendors responding to employee queries and managing the online ticket queue I also scheduled coaching and training sessions as well as assigning online learning licenses For t
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