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- Tasks: Support the quant team with research projects and model development.
- Company: Join Société Générale, a leading financial services company known for innovation and teamwork.
- Benefits: Enjoy a collaborative culture, opportunities for growth, and exposure to industry leaders.
- Why this job: Make an impact while learning in a dynamic environment that values creativity and hard work.
- Qualifications: Master’s degree in Quantitative Finance; strong maths/statistics background; programming skills in Python required.
- Other info: Diversity is celebrated here; we welcome applicants from all backgrounds.
The Quant, Index and ETF Research team is part of the SG Research department. The team produces award winning research alongside a variety of other research services that is marketed to both external and internal clients. In addition, the team is responsible for developing a variety of systematic quantitative investment strategies across a variety of asset classes.
This internship role will be based in London and will support and learn from members of the quant team. The role will be highly varied from working on specific quantitative research projects to assisting in the production of research.
Summary Of Responsibilities- Maintaining a variety of quantitative models used by the team
- Assisting in the production of research materials including models, presentations, and publications
- Interacting and dealing with internal clients (sales, structuring, engineering)
- Under supervision, helping to develop new quantitative models and strategies
- Using a variety of data platforms including Bloomberg and Factset
- The ideal candidate will hold a master’s degree or equivalent in Quantitative Finance
- A focus on mathematics/statistics at the undergraduate level is essential
- Any experience in conducting research is highly advantageous
- Derivative modelling experience essential
- Broader experience looking at markets and portfolios advantageous
- Excellent skills in data science and analysis essential
- Hands-on experience in machine learning highly advantageous
- Programming experience in Python and associated core libraries essential
- Experience with tools such as Bloomberg, QuantLib, and Latex advantageous
- Ability to self-start and work autonomously essential
- Excellent level of written and verbal English essential
At Société Générale, we believe our people are our strength and are core to the success of our business. As such, we search for, recruit and appoint the best available person on the basis of aptitude and ability, regardless of sex, marital or civil partnership status, race, colour, nationality, ethnic or national origins, pregnancy, disability, age, sexual orientation, religion, belief or gender identity.
We are an equal opportunities employer and we are proud to make diversity a strength for our company. Societe Generale is committed to recognizing and promoting all talents, regardless of their beliefs, age, disability, parental status, ethnic origin, nationality, gender identity, sexual orientation, membership of a political, religious, trade union or minority organisation, or any other characteristic that could be subject to discrimination.
Trainee - Quantitative Research Analyst employer: Societe Generale Corporate and Investment Banking - SGCIB
Contact Detail:
Societe Generale Corporate and Investment Banking - SGCIB Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Trainee - Quantitative Research Analyst
✨Tip Number 1
Familiarise yourself with the latest trends in quantitative finance and investment strategies. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the field of quantitative research. Attend industry events, webinars, or join relevant online forums to connect with people who can provide insights and potentially refer you to opportunities.
✨Tip Number 3
Brush up on your programming skills, especially in Python and its libraries. Consider working on personal projects or contributing to open-source projects to demonstrate your coding abilities and familiarity with data analysis.
✨Tip Number 4
Prepare to discuss your previous research experiences and how they relate to the responsibilities of the role. Be ready to explain your thought process and methodologies, as this will showcase your analytical skills and problem-solving abilities.
We think you need these skills to ace Trainee - Quantitative Research Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the role of a Trainee - Quantitative Research Analyst. Emphasise your educational background in Quantitative Finance, mathematics, and any research experience you have.
Craft a Strong Cover Letter: Write a compelling cover letter that explains why you're interested in this internship and how your skills and experiences make you a suitable candidate. Mention specific projects or coursework that relate to quantitative research.
Showcase Technical Skills: Clearly outline your programming experience, especially in Python and any relevant libraries. If you have experience with tools like Bloomberg or QuantLib, be sure to mention these as they are advantageous for the role.
Proofread Your Application: Before submitting, carefully proofread your application materials. Ensure there are no grammatical errors and that your writing is clear and professional, as excellent written English is essential for this position.
How to prepare for a job interview at Societe Generale Corporate and Investment Banking - SGCIB
✨Showcase Your Quantitative Skills
Make sure to highlight your quantitative finance knowledge during the interview. Be prepared to discuss any relevant projects or coursework, especially those involving mathematics and statistics, as these are crucial for the role.
✨Familiarise Yourself with Tools
Since the role involves using platforms like Bloomberg and Factset, it’s a good idea to brush up on these tools before the interview. If you have experience with them, be ready to share specific examples of how you've used them in your research.
✨Demonstrate Your Research Experience
If you have conducted any research, whether academic or professional, be sure to discuss it. Highlight your methodology, findings, and how you approached the research process, as this will show your analytical capabilities.
✨Prepare for Technical Questions
Expect technical questions related to derivative modelling and machine learning. Review key concepts and be ready to explain them clearly, as this will demonstrate your understanding and readiness for the challenges of the role.
