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- Tasks: Design models and build trading infrastructure for prediction markets.
- Company: Leading financial trading firm with a dynamic startup-like environment.
- Benefits: Competitive salary, flexible work locations, and opportunities for growth.
- Why this job: Join a cutting-edge team and make an impact in financial forecasting.
- Qualifications: Relevant degree and strong Python engineering skills required.
- Other info: Self-motivated individuals with clear communication thrive here.
The predicted salary is between 36000 - 60000 £ per year.
A leading financial trading firm is hiring a Prediction Market Quant Engineer to design models and build trading infrastructure for prediction markets. The successful candidate will develop probabilistic models, manage risk, and ensure system reliability.
Applicants should possess a relevant degree and strong Python engineering skills. This role offers a dynamic startup-like environment and requires a self-motivated individual with clear communication abilities.
The position is based in locations including London, Zurich, New York, or Hong Kong.
Prediction Markets Quant Engineer: Real-Time Forecasts employer: G-20 Group
Contact Detail:
G-20 Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Prediction Markets Quant Engineer: Real-Time Forecasts
✨Tip Number 1
Network like a pro! Reach out to professionals in the financial trading space on LinkedIn or at industry events. We can’t stress enough how valuable personal connections can be in landing that dream role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those related to probabilistic models or trading systems. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and communication skills. Practice explaining complex concepts in simple terms, as clear communication is key in this role. We recommend doing mock interviews with friends or mentors.
✨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 are proactive about their job search!
We think you need these skills to ace Prediction Markets Quant Engineer: Real-Time Forecasts
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your Python engineering skills in your application. We want to see how you can apply your technical know-how to build robust trading infrastructure and develop those probabilistic models.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clear communication, so make sure your points are easy to understand and get straight to the heart of what makes you a great fit for the role.
Tailor Your Application: Don’t just send a generic application! We love seeing candidates who take the time to tailor their applications to our specific job description. Mention how your experience aligns with the responsibilities of a Prediction Market Quant Engineer.
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 keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at G-20 Group
✨Know Your Models
Make sure you brush up on your probabilistic models before the interview. Be ready to discuss how you've applied these in real-world scenarios, especially in trading or prediction markets. This will show your depth of knowledge and practical experience.
✨Show Off Your Python Skills
Since strong Python engineering skills are a must, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice common algorithms and data structures relevant to financial modelling.
✨Communicate Clearly
In a dynamic environment, clear communication is key. Practice explaining complex concepts in simple terms. This will not only help you during technical discussions but also show that you can collaborate effectively with team members.
✨Understand Risk Management
Familiarise yourself with risk management strategies specific to prediction markets. Be prepared to discuss how you would approach risk in your models and what measures you would implement to ensure system reliability.
