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- Tasks: Support trading desks with scripting, data analysis, and operational tasks.
- Company: Join a leading proprietary trading firm focused on innovation and efficiency.
- Benefits: Competitive pay, bonuses, private healthcare, and a fully catered meal plan.
- Why this job: Make an impact in financial markets while developing your Python skills.
- Qualifications: Strong Python skills and a passion for financial markets required.
- Other info: Enjoy a vibrant work culture with monthly social events and a private gym.
The predicted salary is between 36000 - 60000 £ per year.
We are looking for a Trading Analyst to join our Options Market Making business. The eligible candidate will be responsible for supporting the trading desks in scripting jobs, trading data analysis and operational tasks.
Responsibilities
- Day-to-day responsibility for scripts that support the trading activity
- Working with traders to design and improve trading strategies through data analysis, prototyping as well as collaboration with developers
- Proactively supporting operational tasks on the trading desks
- To comply with all applicable Compliance policies, procedures, laws and regulations
Requirements
- Strong Python skills
- Excellent communication and teamwork skills
- Ability to demonstrate wider interest in financial markets
- Outstanding numerical and analytical skills
- Proactive interest in improving existing trading strategies and identifying new opportunities
- Ability to take a high level of responsibility in an expanding, highly successful firm
- Excellent attention to detail
- Fast problem solving skills
About Maven
Maven is a market-leading proprietary trading firm that allocates internal capital across discretionary, systematic, and market-making strategies. Our collective expertise spans traders, engineers, and technologists, unified by an unwavering dedication to enhancing our efficiency as a premier liquidity provider for globally listed derivatives. We leverage groundbreaking execution and pricing technologies to elevate and improve financial markets' operations.
Benefits
- Competitive compensation package
- Annual discretionary bonus
- Group pension plan
- Enhanced annual leave allowance after 2+ years' service
- 25 days' annual leave (plus public holidays)
- Fully catered breakfast, lunch, and snacks prepared by an in-house chef
- Private healthcare and life assurance
- On-site private gym with instructor-led classes including boxing, yoga, and more
- Monthly company events and social activities
Trading Analyst - Python - Options Market Making in City of Westminster employer: Maven Securities Ltd
Contact Detail:
Maven Securities Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Trading Analyst - Python - Options Market Making in City of Westminster
✨Tip Number 1
Network like a pro! Reach out to current or former employees on LinkedIn and ask about their experiences. A friendly chat can give you insider info and might even lead to a referral.
✨Tip Number 2
Prepare for the interview by brushing up on your Python skills and understanding trading strategies. We recommend doing mock interviews with friends or using online platforms to get comfortable with common questions.
✨Tip Number 3
Show your passion for financial markets! During interviews, share your insights on recent market trends or discuss any personal projects related to trading. This will demonstrate your proactive interest and analytical skills.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining our team at Maven.
We think you need these skills to ace Trading Analyst - Python - Options Market Making in City of Westminster
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your Python expertise in your application. We want to see how you've used it in real-world scenarios, especially in trading or data analysis. Don't just say you're good at it; give us examples!
Communicate Clearly: Since communication is key in our team, ensure your application is clear and concise. Use straightforward language and structure your thoughts logically. This will show us that you can communicate effectively with traders and developers alike.
Demonstrate Your Interest in Financial Markets: We love candidates who are passionate about financial markets! Share any relevant experiences or projects that showcase your interest. Whether it's a personal trading project or coursework, let us know what excites you about this field.
Apply Through Our Website: To make sure your application gets the attention it deserves, apply directly through our website. It’s the best way for us to track your application and get back to you quickly. Plus, we love seeing candidates who follow instructions!
How to prepare for a job interview at Maven Securities Ltd
✨Master Your Python Skills
Since the role requires strong Python skills, make sure you brush up on your coding abilities. Be prepared to discuss specific projects where you've used Python for data analysis or scripting. Practising common coding problems can also help you feel more confident during technical questions.
✨Know Your Financial Markets
Show your passion for financial markets by staying updated on current trends and news. Be ready to discuss how these trends might impact trading strategies. This will demonstrate your proactive interest and understanding of the industry, which is crucial for a Trading Analyst.
✨Prepare for Teamwork Questions
Given the emphasis on communication and teamwork, think of examples from your past experiences where you collaborated effectively with others. Highlight how you contributed to team success and how you handled any challenges that arose during those collaborations.
✨Attention to Detail is Key
In trading, even the smallest mistake can have significant consequences. Prepare to discuss how you ensure accuracy in your work. You might want to share specific instances where your attention to detail made a difference in your previous roles, especially in data analysis or operational tasks.
