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
Five days of activities Including talks from the CEO and heads of department roundtables and discussion panels with researchers interactive workshops themed around statistics machine learning programming and finance as well as plenty of networking o
We had presentations from higher management about the structure and function of the teams they lead attended interactive workshops on finance programming and hedging strategies as well as an advanced machine learning seminar Social activities were als
The insight included networking activities attending learning sessions on ML finance and statistics and engaging in seminars and presentations about working at Gresearch
Every day we had one or multiple insightsessions These consisted of presentations and workshops all related to quantitative finance Most of the downtime was filled with social activities and organised lunchdinner to get into touch with other partic
The insight week was filled with workshops and talks given by GResearch emplyees These included the CEO and the head of research Workshops covered a variety of areas in which GResearch specializes These include ML NLP Statistics Finance and progra
It039s 5 days long each day consisting of a series of workshops andor social activities The workshops included sessions on finance statistics machine learning and programming These all correspond to aspects of a quant researcher039s job The
My role involved creating a new app inside of GResearch My work was hybrid 10 days of Work from Home per month I worked in a team with 6 members and we had daily standups as well as frequent code demos and catchups I worked from 9am to 530pm
A week in a countryside hotel with learning experiences in related fields to quant finance and talks with professionals in the field mixed in with a healthy dose of activities and great food
General administrative work involving booking and scheduling training interviews contracts etc Project based work Sourcing candidates on LinkedIn Recruiter Managing HR inboxes JIRA tickets and performance management system
Throughout the internship I was using a range of analytics techniques to answer questions from data I also presented to a variety of senior internal stakeholders