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- Tasks: Design probabilistic models and build trading infrastructure for prediction markets.
- Company: Leading financial trading firm with a startup-like environment.
- Benefits: Work in global locations like London, Zurich, New York, or Hong Kong.
- Why this job: Join a dynamic team and make an impact in the financial trading world.
- Qualifications: Relevant degree, strong Python skills, and clear communication abilities.
- Other info: Perfect for self-motivated individuals seeking growth opportunities.
The predicted salary is between 36000 - 60000 £ per year.
A leading financial trading firm is seeking a Prediction Market Quant Engineer to design probabilistic models and build trading infrastructure. The ideal candidate will have a relevant degree and strong Python skills, along with clear communication abilities. This dynamic role offers opportunities in various global locations including London, Zurich, New York, or Hong Kong. The firm fosters a startup-like environment, encouraging self-motivated individuals to thrive.
Realtime Prediction Markets Quant Engineer employer: G-20 Group
Contact Detail:
G-20 Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Realtime Prediction Markets Quant Engineer
✨Tip Number 1
Network like a pro! Reach out to professionals in the financial trading space on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your Python skills! Consider building a small project or model related to prediction markets and share it on GitHub. This not only showcases your abilities but also gives you something tangible to discuss in interviews.
✨Tip Number 3
Prepare for those interviews! Research common questions for quant roles and practice your answers. We recommend doing mock interviews with friends or using online platforms to get comfortable.
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications this way!
We think you need these skills to ace Realtime Prediction Markets Quant Engineer
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your Python skills and any relevant experience in probabilistic modelling. We want to see how you can bring your technical expertise to the table!
Tailor Your Application: Don’t just send a generic CV! Tailor your application to reflect the specific requirements of the Prediction Market Quant Engineer role. We love seeing candidates who take the time to connect their experiences with what we’re looking for.
Communicate Clearly: Since clear communication is key, ensure your application is well-structured and easy to read. We appreciate candidates who can convey complex ideas simply and effectively.
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 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 contexts. This shows that you not only understand the theory but can also implement it effectively.
✨Show Off Your Python Skills
Since strong Python skills are a must for this role, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot or discuss past projects where you used Python. Practising coding challenges can really help you shine here.
✨Communicate Clearly
This role requires clear communication, so practice explaining complex concepts in simple terms. Think about how you would describe your work to someone without a technical background. This will show that you can collaborate effectively within a team.
✨Embrace the Startup Spirit
The firm values self-motivated individuals, so be prepared to share examples of how you've taken initiative in previous roles. Highlight any experiences where you’ve thrived in a dynamic environment, as this will resonate well with their culture.
