At a Glance
- Tasks: Analyse client trading behaviour and identify new opportunities using large-scale data.
- Company: Dynamic finance firm with a focus on innovation and collaboration.
- Benefits: Highly competitive pay, generous leave, and a relaxed dress code.
- Other info: Enjoy monthly events and a great work/life balance.
- Why this job: Join a team that drives real change in the finance world with cutting-edge technology.
- Qualifications: Experience in quantitative analysis and strong coding skills in Python or C#.
The predicted salary is between 60000 - 80000 £ per year.
Responsibilities
- Review and refine client trading behaviour using large-scale data and compute to identify new opportunities and maximize performance.
- Collaborate closely with research, engineering, and front-office teams to implement improvements, respond to external changes, and identify new opportunities across a global client trading platform.
- Perform post-trade analysis in Python using large-scale data and compute.
- Implement performant production C# code in the trading platform and monitor changes in the real-world.
- Prioritise and deliver medium-term strategic projects and short-term urgent tasks with pragmatic decision-making to deliver commercial value.
Qualifications
- Experience solving quantitative problems at pace, with a strong track record demonstrated through practical projects, internships or full-time employment.
- Appreciation of market microstructure and algorithmic order placement behaviour.
- Strong coding skills, ideally Python and C#, but other languages are welcome.
- Ability to question the status quo and drive improvement and changes.
- Strong interest in finance and the motivation to rapidly learn and deliver.
Benefits
- Highly competitive compensation plus annual discretionary bonus.
- Lunch (via Just Eat for Business) and dedicated barista bar.
- 35 days’ annual leave.
- 9% company pension contributions.
- Informal dress code and excellent work/life balance.
- Comprehensive healthcare and life assurance.
- Cycle-to-work scheme.
- Monthly company events.
Quantitative Analyst employer: Braunford LLP
As a Quantitative Analyst at our company, you will thrive in a dynamic and collaborative environment that values innovation and continuous improvement. With highly competitive compensation, generous annual leave, and a strong focus on work/life balance, we empower our employees to grow both personally and professionally while enjoying unique perks like a dedicated barista bar and monthly company events. Join us in a role that not only challenges you but also offers the opportunity to make a significant impact on our global client trading platform.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Analyst
✨Tip Number 1
Network like a pro! Reach out to professionals in the finance and tech sectors on LinkedIn. Join relevant groups and engage in discussions to get your name out there and show off your passion for quantitative analysis.
✨Tip Number 2
Prepare for those interviews! Brush up on your Python and C# skills, and be ready to tackle some coding challenges. We recommend practicing with real-world problems to showcase your ability to solve quantitative issues under pressure.
✨Tip Number 3
Show your enthusiasm for finance! Keep up with market trends and be prepared to discuss how they impact trading behaviour. This will not only impress interviewers but also demonstrate your commitment to the field.
✨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 take the initiative to connect directly with us.
We think you need these skills to ace Quantitative Analyst
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Quantitative Analyst role. Highlight your experience with Python and C#, and any relevant projects or internships that showcase your problem-solving skills in a quantitative context.
Craft a Compelling Cover Letter:Your cover letter should tell us why you're passionate about finance and how your skills can drive improvements in our trading platform. Be specific about your experiences and how they relate to the responsibilities outlined in the job description.
Showcase Your Coding Skills:If you’ve worked on any coding projects, especially in Python or C#, make sure to mention them! We love seeing practical examples of your work, so consider including links to your GitHub or any relevant portfolios.
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’re considered for the role. Plus, it shows us you’re keen to join the StudySmarter team!
How to prepare for a job interview at Braunford LLP
✨Know Your Numbers
As a Quantitative Analyst, you'll be dealing with large-scale data. Brush up on your quantitative skills and be ready to discuss specific projects where you've solved complex problems. Use examples that showcase your ability to analyse data and derive insights.
✨Show Off Your Coding Skills
Since strong coding skills in Python and C# are essential, prepare to demonstrate your proficiency. You might be asked to solve a coding problem during the interview, so practice common algorithms and data structures beforehand. Be ready to explain your thought process as you code.
✨Understand Market Microstructure
Familiarise yourself with market microstructure concepts and algorithmic order placement behaviour. Be prepared to discuss how these elements influence trading strategies and performance. Showing that you can connect theory to practical applications will impress your interviewers.
✨Be Ready to Challenge the Status Quo
This role requires a mindset geared towards improvement and innovation. Think of examples where you've questioned existing processes or proposed new ideas. Highlight your ability to drive change and deliver commercial value, as this aligns perfectly with what they’re looking for.
