At a Glance
- Tasks: Create quantitative models and analyse data to enhance client service on our trading platform.
- Company: Leading investment banking firm in London with a dynamic team.
- Benefits: Competitive salary, professional development, and a fast-paced work environment.
- Why this job: Influence decisions and drive insights in cutting-edge financial technologies.
- Qualifications: Proficient in Python and data science with strong problem-solving skills.
- Other info: Exciting opportunity for career growth in a collaborative atmosphere.
The predicted salary is between 43200 - 72000 £ per year.
A leading investment banking firm in London is looking for a dynamic Associate in the Marquee Sales Strats team. You will create quantitative models, analyze data, and collaborate with Traders and Sales teams to enhance client service on our trading platform. We seek a creative problem-solver skilled in Python and data science, ready to thrive in a fast-paced environment. This role offers an opportunity to influence decisions and drive insights in financial technologies.
Marquee Quant Sales Strategist – London employer: E Fundresearch
Contact Detail:
E Fundresearch Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Marquee Quant Sales Strategist – London
✨Tip Number 1
Network like a pro! Reach out to current employees in the Marquee Sales Strats team on LinkedIn. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a mini-project or case study that showcases your Python and data science abilities. Bring it up during interviews to demonstrate your problem-solving prowess.
✨Tip Number 3
Stay updated on market trends! Read up on the latest in financial technologies and trading strategies. Being knowledgeable will help you stand out and show your passion for the industry.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Marquee Quant Sales Strategist – London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Python and data science in your application. We want to see how you've used these skills in real-world scenarios, so don’t hold back!
Be a Creative Problem-Solver: In your written application, share examples of how you've tackled challenges in the past. We love seeing innovative thinking, especially in fast-paced environments like ours.
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to the Marquee Sales Strats role. Show us why you’re the perfect fit for our team.
Apply Through Our Website: We encourage you to apply directly through our website. 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 E Fundresearch
✨Know Your Quantitative Models
Make sure you brush up on your quantitative modelling skills. Be prepared to discuss specific models you've created or worked with, and how they can be applied in a trading context. This will show your potential employer that you have the technical know-how they're looking for.
✨Showcase Your Python Skills
Since Python is a key requirement for this role, be ready to demonstrate your proficiency. You might be asked to solve a coding problem or explain how you've used Python in past projects. Practising common data science libraries like Pandas and NumPy can give you an edge.
✨Understand the Trading Environment
Familiarise yourself with the current trends in the financial markets and how they impact trading strategies. Being able to discuss recent market movements or technological advancements in trading platforms will show that you're engaged and knowledgeable about the industry.
✨Prepare for Problem-Solving Questions
Expect to face scenario-based questions that assess your problem-solving abilities. Think of examples where you've tackled complex issues, especially in high-pressure situations. Use the STAR method (Situation, Task, Action, Result) to structure your responses effectively.