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- Tasks: Build cutting-edge research and trading infrastructure for prediction markets.
- Company: Leading quantitative trading firm driving innovation in financial markets.
- Benefits: Competitive salary, flexible work locations, and opportunities for professional growth.
- Why this job: Join a dynamic team and make an impact in real-time forecasting and trading.
- Qualifications: Strong Python skills, solid statistics foundation, and experience with backtesting.
- Other info: Work in a collaborative environment with global opportunities.
The predicted salary is between 43200 - 72000 £ per year.
A leading quantitative trading firm is seeking a Prediction Market Quant Engineer to build research and trading infrastructure for prediction markets. The ideal candidate should possess strong engineering skills in Python, a solid foundation in statistics, and experience with building backtests.
Responsibilities include:
- Developing probabilistic models
- Building data pipelines
- Collaborating closely with trading stakeholders
Join a dynamic team that drives innovation in financial markets, based in London or other global locations.
Prediction Market Quant Engineer: Real-Time Forecasting & Trading in London employer: G-20 Group
Contact Detail:
G-20 Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Prediction Market Quant Engineer: Real-Time Forecasting & Trading in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or attend meetups. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those related to statistics and backtesting. We want to see your work in action, so make it easy for potential employers to check it out.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding of probabilistic models. We recommend doing mock interviews with friends or using online platforms to get comfortable with the process.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Prediction Market Quant Engineer: Real-Time Forecasting & Trading in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your engineering skills in Python and any relevant experience with statistics. We want to see how you can apply these skills to real-time forecasting and trading!
Tailor Your Application: Don’t just send a generic CV! Tailor your application to the role by mentioning specific projects or experiences that relate to building backtests and probabilistic models. This shows us you’re genuinely interested.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and fit for the role.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to track your application and get back to you quickly!
How to prepare for a job interview at G-20 Group
✨Know Your Python Inside Out
Make sure you brush up on your Python skills, especially in the context of building data pipelines and backtests. Be ready to discuss specific projects where you've used Python to solve complex problems, as this will show your practical experience.
✨Brush Up on Your Statistics
Since the role requires a solid foundation in statistics, review key concepts like probability distributions, hypothesis testing, and regression analysis. Prepare to explain how you've applied these concepts in real-world scenarios, particularly in relation to probabilistic models.
✨Showcase Your Collaboration Skills
This position involves working closely with trading stakeholders, so be prepared to discuss examples of how you've successfully collaborated with others in past roles. Highlight any experiences where your teamwork led to innovative solutions or improved processes.
✨Research the Company and Its Markets
Familiarise yourself with the firm's approach to prediction markets and current trends in quantitative trading. Being able to discuss recent developments or challenges in the industry will demonstrate your genuine interest and help you stand out during the interview.
