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- Tasks: Develop indices and programme while collaborating with diverse teams.
- Company: Global investment banking firm based in London with a focus on diversity.
- Benefits: Growth opportunities, competitive salary, and a dynamic work environment.
- Why this job: Join a leading firm and make an impact in quantitative engineering.
- Qualifications: Strong background in Mathematics or Physics and excellent communication skills.
- Other info: Promotes a culture of diversity and professional development.
The predicted salary is between 43200 - 72000 £ per year.
A global investment banking firm based in London is seeking a Quantitative Engineering Associate/Vice President. This role involves index development, programming, and working collaboratively with various stakeholders.
Ideal candidates will have:
- a strong background in quantitative fields such as Mathematics or Physics,
- excellent communication skills,
- a high level of diligence.
The firm values diversity and promotes growth opportunities for all employees.
Quantitative Engineering – Associate/VP (London) employer: Goldman Sachs Group, Inc.
Contact Detail:
Goldman Sachs Group, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Engineering – Associate/VP (London)
✨Tip Number 1
Network like a pro! Reach out to professionals in the quantitative engineering field on LinkedIn or at industry events. A friendly chat can open doors that a CV alone can't.
✨Tip Number 2
Show off your skills! If you’ve got any projects or coding samples, make sure to have them ready to share. Demonstrating your programming prowess can really set you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss how your background in Maths or Physics applies to the role. Confidence is key, so practice makes perfect!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Quantitative Engineering – Associate/VP (London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your quantitative skills and relevant experience. We want to see how your background in Mathematics or Physics aligns with the role, so don’t hold back on showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about quantitative engineering and how you can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Your Communication Skills: Since this role involves collaboration with various stakeholders, make sure to demonstrate your communication skills in your application. We appreciate candidates who can convey complex ideas clearly and effectively.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Goldman Sachs Group, Inc.
✨Know Your Numbers
Brush up on your quantitative skills and be ready to discuss relevant mathematical concepts. Prepare to explain how you've applied these skills in past projects, especially in programming or index development.
✨Communicate Clearly
Since excellent communication is key for this role, practice explaining complex ideas in simple terms. Think about how you can convey your thought process clearly when discussing your work with stakeholders.
✨Show Your Diligence
Be prepared to share examples that demonstrate your attention to detail and commitment to quality. Discuss specific instances where your diligence led to successful outcomes in your previous roles.
✨Embrace Diversity
Research the firm’s commitment to diversity and think about how your unique background can contribute to their culture. Be ready to discuss how diverse perspectives can enhance teamwork and innovation in quantitative engineering.
