Trainee Trader: Quant Analytics & Automation

Trainee Trader: Quant Analytics & Automation

Trainee 50000 - 70000 £ / year (est.) No working from home possible
Societe Generale Corporate and Investment Banking - SGCIB

At a Glance

  • Tasks: Optimise assets, develop pricing tools, and conduct quantitative research.
  • Company: Join Societe Generale, a leader in corporate and investment banking.
  • Benefits: Gain hands-on experience in a dynamic trading environment.
  • Other info: Exciting opportunity for career growth in finance.
  • Why this job: Be part of a trusted team that values innovation and community.
  • Qualifications: Master’s degree, proficiency in VBA and Python, strong analytical skills.

The predicted salary is between 50000 - 70000 £ per year.

Societe Generale Corporate and Investment Banking - SGCIB is looking for a Trainee to join their Equities & Derivatives department. This role involves asset optimisation, developing pricing tools, performing quantitative research, and collaborating with trading desks.

The ideal candidate will have a Master’s degree, proficiency in VBA and Python, and strong analytical skills. Join us and be part of a team that values trust, innovation, and community.

Trainee Trader: Quant Analytics & Automation employer: Societe Generale Corporate and Investment Banking - SGCIB

At Societe Generale Corporate and Investment Banking, we pride ourselves on fostering a dynamic work culture that encourages innovation and collaboration. As a Trainee Trader in our Equities & Derivatives department, you will benefit from comprehensive training programmes, mentorship opportunities, and a supportive environment that values your growth and contributions. Located in a vibrant financial hub, our team is committed to building a community where trust and excellence thrive, making it an exceptional place to launch your career.

Societe Generale Corporate and Investment Banking - SGCIB

Contact Details:

Societe Generale Corporate and Investment Banking - SGCIB Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Trainee Trader: Quant Analytics & Automation

Get in on the Data Science Meetups

Data science is all about community! Join local meetups or workshops related to data science and analytics. It's a fab way to network with industry professionals, learn about the latest trends, and maybe even snag a lead on an upcoming opportunity at companies like Societe Generale Corporate and Investment Banking - SGCIB.

Show Off Your Projects

As a trainee, showcasing your skills is key. Start a GitHub repository with your projects or analytics problems you've solved. Share them on platforms like Kaggle, and make sure to link them on your LinkedIn. Potential employers, including Societe Generale Corporate and Investment Banking - SGCIB, love seeing hands-on experience!

Connect with Alumni

Tap into your university's alumni network! Reach out to past graduates who are working in data science roles and see if they'd be willing to chat. They often have great insights into internship openings and can even refer you internally, increasing your chances with companies like Societe Generale Corporate and Investment Banking - SGCIB.

Find Internships through Portals and Workshops

Keep an eye out for career fairs and workshops specifically targeting data science roles. Many companies, including Societe Generale Corporate and Investment Banking - SGCIB, often scout for trainee talent at these events. Plus, applying directly through job portals and company websites can give you an edge!

We think you need these skills to ace Trainee Trader: Quant Analytics & Automation

Analytical Skills
VBA
Python
Quantitative Research
Asset Optimisation
Pricing Tools Development
Collaboration

Some tips for your application 🫡

Show Off Your Data Skills:Make sure to highlight your data-related skills clearly in your CV. If you've worked on any projects using Python or R, be sure to mention them. Also, if you've dabbled in machine learning, include that too—employers love a hands-on learner!

Include Relevant Projects:Since this is a trainee position, listing your university projects or any personal data science projects can really impress. Attach a GitHub link if possible, so Societe Generale Corporate and Investment Banking - SGCIB can see your code and your thought process. Practical experience, even if it's academic, can set you apart!

Personalise Your Cover Letter:Use your cover letter to show how passionate you are about data science. Describe why you're excited about the opportunity at Societe Generale Corporate and Investment Banking - SGCIB and how the role aligns with your career goals in this dynamic field. We want to see your enthusiasm and potential to grow.

Tailor Your CV for Trainees:Since you’re applying for a trainee position, focus on academic achievements and any relevant coursework in your CV. Don’t sweat the lack of professional experience—your ability to learn and adapt is what counts. Also, make sure to align your CV format with data science norms; keep it clear and concise!

How to prepare for a job interview at Societe Generale Corporate and Investment Banking - SGCIB

Show Off Your Data Skills

Make sure you're ready to chat about the tools we use in data science, like Python, R, or SQL. Brush up on key concepts like data cleaning, analysis, and visualisation — interviewers often delve into these areas to see how you think and approach problems.

Prepare for Practical Assessments

Don't be surprised if you're given a case study or data set to analyse during the interview. We should be prepared to demonstrate how we interpret and present data findings — it's a chance to show off our analytical thinking in real time!

Highlight Your Passion for Learning

As a trainee, it’s all about showing your enthusiasm for data science! Share any personal projects, online courses, or relevant experiences. This tells Societe Generale Corporate and Investment Banking - SGCIB that we’re eager to grow and develop our skills in this exciting field.

Ask Insightful Questions

Use this opportunity to find out more about the team’s projects and tools. Questions like ‘What data challenges are you currently facing?’ can demonstrate our interest while also helping us understand how we might fit into Societe Generale Corporate and Investment Banking - SGCIB’s culture and workflow.