At a Glance
- Tasks: Create innovative quantitative models to support traders and portfolio managers.
- Company: Leading financial services firm with a vibrant and inclusive culture.
- Benefits: Competitive salary, diverse work environment, and opportunities for professional growth.
- Why this job: Join a dynamic team and make an impact in the financial industry.
- Qualifications: 4+ years in finance, strong calculus knowledge, and Python programming skills.
- Other info: Diversity and inclusion are at the heart of our workplace.
The predicted salary is between 43200 - 72000 £ per year.
A leading financial services firm is seeking a Senior Quant Analyst to join their Trading Research Quant team. In this role, you will create innovative quantitative models and frameworks to support traders and portfolio managers across various asset classes.
The ideal candidate will have at least 4 years of experience in the financial industry, proven knowledge of calculus and stochastic processes, and strong programming skills in Python.
The company values diversity and inclusion, offering a vibrant work culture.
Senior Quant Analyst – Equities Trading Analytics employer: Bloomberg L.P.
Contact Detail:
Bloomberg L.P. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Quant Analyst – Equities Trading Analytics
✨Tip Number 1
Network like a pro! Reach out to your connections in the finance industry, especially those who work in trading or analytics. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your quantitative models and any relevant projects you've worked on. This will give potential employers a taste of what you can bring to their team.
✨Tip Number 3
Ace the interview! Brush up on your knowledge of calculus and stochastic processes, and be ready to discuss how you've applied these in real-world scenarios. Confidence is key, so practice makes perfect!
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and interests. Plus, it shows you're genuinely interested in joining our vibrant work culture.
We think you need these skills to ace Senior Quant Analyst – Equities Trading Analytics
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in quantitative analysis and programming skills, especially in Python. We want to see how your background aligns with the role of a Senior Quant Analyst.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about trading analytics and how your skills can contribute to our team. Let us know what excites you about this opportunity!
Showcase Your Technical Skills: Don’t forget to mention your knowledge of calculus and stochastic processes. We’re looking for someone who can hit the ground running, so be specific about your technical expertise and any relevant projects you've worked on.
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 our team!
How to prepare for a job interview at Bloomberg L.P.
✨Brush Up on Your Quant Skills
Make sure you’re well-versed in calculus and stochastic processes. Review key concepts and be ready to discuss how you've applied them in your previous roles. This will show that you not only understand the theory but can also implement it practically.
✨Show Off Your Python Prowess
Since strong programming skills in Python are a must, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice writing clean, efficient code and be ready to explain your thought process.
✨Know the Company and Its Culture
Research the financial services firm and understand their values, especially around diversity and inclusion. Be prepared to discuss how you can contribute to their vibrant work culture and why you’re excited about joining their team.
✨Prepare for Scenario-Based Questions
Expect questions that assess your analytical thinking and problem-solving skills. Think of examples from your past experience where you’ve created innovative models or frameworks. Use the STAR method (Situation, Task, Action, Result) to structure your answers effectively.