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- Tasks: Join our trading team to develop models and execute trades for profit.
- Company: Be part of a well-established international trading firm with a strong reputation.
- Benefits: Enjoy a PnL-related bonus and access to a broad range of markets.
- Why this job: This role offers a dynamic environment with opportunities for growth and impact in trading.
- Qualifications: You need 2+ years of spec prop trading experience and strong quant skills in Python.
- Other info: Ideal for those passionate about short-term trading and data-driven strategies.
The predicted salary is between 43200 - 72000 £ per year.
A great opportunity to join the spec prop trading team of an established international trading firm.
As an Intraday Quant Power Trader, you will have a role in developing models, implementing strategies, and executing trades to generate PnL.
Requiring:
- Short-term trading background (DA/ID)
- Strong quant skills & coding ability (Python) with a data-driven approach
- 2+ years of spec prop trading experience
- CWE + other European markets exposure
Broad range of markets accessible with PnL-related bonus on offer.
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Intraday Quant Power Trader employer: Pangea
Contact Detail:
Pangea Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Intraday Quant Power Trader
✨Tip Number 1
Familiarise yourself with the latest trends in intraday trading and quantitative analysis. This will not only help you understand the market better but also demonstrate your commitment to staying updated in a fast-paced environment.
✨Tip Number 2
Network with professionals in the trading industry, especially those who have experience in spec prop trading. Attend relevant conferences or webinars to make connections and gain insights that could give you an edge during the interview process.
✨Tip Number 3
Brush up on your Python coding skills, focusing on libraries and tools commonly used in quantitative trading. Being able to showcase your coding ability in practical scenarios can set you apart from other candidates.
✨Tip Number 4
Prepare to discuss your previous trading experiences in detail, particularly any strategies you've developed or implemented. Be ready to explain how your decisions led to successful trades and how you managed risks effectively.
We think you need these skills to ace Intraday Quant Power Trader
Some tips for your application 🫡
Understand the Role: Familiarise yourself with the responsibilities of an Intraday Quant Power Trader. Highlight your experience in developing models and executing trades, as well as your understanding of short-term trading.
Showcase Your Skills: Emphasise your quant skills and coding ability, particularly in Python. Provide examples of how you've used these skills in previous roles to develop strategies or improve trading outcomes.
Highlight Relevant Experience: Detail your spec prop trading experience, especially any exposure to CWE and other European markets. Be specific about your achievements and how they relate to generating PnL.
Tailor Your Application: Customise your CV and cover letter to reflect the job description. Use keywords from the posting to demonstrate that you meet the requirements and are a good fit for the team.
How to prepare for a job interview at Pangea
✨Showcase Your Quant Skills
Be prepared to discuss your quantitative skills in detail. Highlight any relevant projects or models you've developed, and be ready to explain your thought process and the outcomes.
✨Demonstrate Coding Proficiency
Since coding in Python is crucial for this role, brush up on your programming skills. You might be asked to solve a coding problem during the interview, so practice common algorithms and data structures.
✨Understand Market Dynamics
Familiarise yourself with the specific markets mentioned in the job description, especially CWE and other European markets. Being able to discuss recent trends or events in these markets will show your genuine interest and knowledge.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your decision-making and trading strategies. Think of examples from your past experience where you successfully navigated market challenges or made profitable trades.
