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- Tasks: Research and develop innovative trading strategies using quantitative analysis.
- Company: Leading financial technology firm in Greater London with a focus on innovation.
- Benefits: Competitive salary, bonuses, and comprehensive benefits package.
- Why this job: Join a dynamic team and make an impact in the fast-paced world of trading.
- Qualifications: Strong problem-solving skills, proficiency in Python, and knowledge of statistical analysis.
- Other info: Exciting opportunities for career growth in a collaborative environment.
A financial technology firm in Greater London seeks a research engineer to research and develop trading strategies. The ideal candidate is a strong quantitative problem solver proficient in Python and familiar with statistical analysis. The role involves collaborating on new ideas and maintaining various trading strategies. Competitive compensation includes a base salary of £150,000-250,000 plus bonuses and benefits.
Quantitative Trading Research Engineer in London employer: Ansatzcapital
Contact Detail:
Ansatzcapital Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Trading Research Engineer in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the financial technology 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 quantitative problem-solving abilities and any trading strategies you've developed. This will give us a tangible way to see what you can bring to the table.
✨Tip Number 3
Prepare for technical interviews! Brush up on your Python skills and statistical analysis techniques. We recommend practicing coding challenges and discussing your thought process out loud to impress your interviewers.
✨Tip Number 4
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 take the initiative to connect directly with us.
We think you need these skills to ace Quantitative Trading Research Engineer in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your quantitative problem-solving skills and Python proficiency in your application. We want to see how you can apply these skills to develop innovative trading strategies.
Be Specific About Your Experience: When detailing your past experiences, focus on specific projects or roles where you've used statistical analysis. We love seeing concrete examples of how you've tackled challenges in the past.
Collaborative Spirit: Since this role involves collaboration, mention any teamwork experiences you've had, especially in research or trading environments. We value candidates who can bring new ideas to the table and work well with others.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves.
How to prepare for a job interview at Ansatzcapital
✨Brush Up on Your Python Skills
Make sure you're comfortable with Python, as it's a key requirement for the role. Review libraries like NumPy and pandas, and be ready to discuss how you've used them in past projects or research.
✨Know Your Statistical Analysis
Familiarise yourself with statistical concepts that are relevant to trading strategies. Be prepared to explain how you would apply these concepts to real-world scenarios, showcasing your problem-solving skills.
✨Prepare for Collaborative Questions
Since the role involves collaboration, think about your past experiences working in teams. Be ready to share examples of how you contributed to group projects and how you handle differing opinions.
✨Stay Updated on Market Trends
Research current trends in quantitative trading and be prepared to discuss them. Showing that you're engaged with the industry will demonstrate your passion and commitment to the role.
