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For Companies At a Glance
- Tasks: Research trading outcomes and build quantitative models to enhance algorithmic trading.
- Company: Dynamic financial firm in Central London with a hybrid working model.
- Benefits: Competitive salary, flexible work arrangements, and opportunities for professional growth.
- Why this job: Join a cutting-edge team and make an impact in the world of trading.
- Qualifications: Strong Python skills and a passion for data analysis required.
- Other info: Collaborate with global teams and clients in a fast-paced environment.
The predicted salary is between 36000 - 60000 £ per year.
Responsibilities
- Research and analyse trading outcomes to assess effectiveness of execution strategies
- Build and refine quantitative models to improve algorithmic trading performance
- Implement elements of trading logic in Python and work closely with engineering teams
- Partner with clients to explain model behaviour, review performance and gather feedback
- Support clients in an execution consulting capacity to optimise use of trading products
Key Skills & Experience
- Strong quantitative mindset with passion for data and research
- Strong Python development skills (Java exposure beneficial but not core)
- Experience with electronic trading strategies and market microstructure
- Knowledge of European equities markets
- Exposure to distributed systems and large-scale data analysis desirable
- Excellent communication skills; able to work with global teams and clients
- High-frequency trading experience advantageous
Permanent role - Central London based - hybrid working
Python Quant Dev - Cash Equities/Algo/Backtesting/Trading/Market Making in London employer: Scope AT Limited
Contact Detail:
Scope AT Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Python Quant Dev - Cash Equities/Algo/Backtesting/Trading/Market Making in London
✨Tip Number 1
Get your networking game on! Connect with professionals in the trading and quant development space. Attend meetups, webinars, or even just reach out on LinkedIn. You never know who might have a lead on that perfect role!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those related to algorithmic trading or quantitative analysis. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews like a pro! Brush up on your knowledge of electronic trading strategies and market microstructure. Be ready to discuss your past experiences and how they relate to the role. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you. Plus, it’s a great way to ensure your application gets the attention it deserves. Let’s get you that dream job!
We think you need these skills to ace Python Quant Dev - Cash Equities/Algo/Backtesting/Trading/Market Making in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your Python skills and any experience with trading strategies. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about quantitative development and how your skills can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Your Quantitative Mindset: In your application, emphasise your analytical skills and any experience with data research. We’re looking for candidates who can think critically about trading outcomes, so share examples that demonstrate your quantitative prowess.
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 gives you a chance to explore more about what we do at StudySmarter!
How to prepare for a job interview at Scope AT Limited
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your previous projects and how you've implemented trading logic in Python. Practising coding challenges related to algorithmic trading can also give you a solid edge.
✨Understand Market Microstructure
Familiarise yourself with European equities markets and electronic trading strategies. Being able to discuss market microstructure will show that you have a strong quantitative mindset and are passionate about data and research, which is crucial for this role.
✨Communicate Clearly
Since you'll be partnering with clients, excellent communication skills are a must. Prepare to explain complex model behaviours in simple terms. Practising mock interviews with friends or colleagues can help you articulate your thoughts more clearly.
✨Showcase Your Analytical Skills
Be prepared to discuss how you've researched and analysed trading outcomes in the past. Highlight any quantitative models you've built and how they improved trading performance. This will demonstrate your analytical prowess and fit for the role.
