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- Tasks: Join our EMEA team as a Quant Developer, enhancing trading strategies and tools.
- Company: Tower Research Capital is a leading quantitative trading firm with a 25+ year track record of innovation.
- Benefits: Enjoy hybrid work, generous time off, free meals, wellness reimbursements, and fun social events.
- Why this job: Be part of a collaborative culture where smart people thrive and great ideas win.
- Qualifications: Bachelor's, Masters or PhD in Computer Science or related field; strong Python skills required.
- Other info: Experience in C++ and financial markets is a plus, but not mandatory.
The predicted salary is between 36000 - 60000 £ per year.
Responsibilities
Requirements
Benefits
Tower’s headquarters are in the historic Equitable Building, right in the heart of NYC’s Financial District and our impact is global, with over a dozen offices around the world.
At Tower, we believe work should be both challenging and enjoyable. That is why we foster a culture where smart, driven people thrive – without the egos. Our open concept workplace, casual dress code, and well-stocked kitchens reflect the value we place on a friendly, collaborative environment where everyone is respected, and great ideas win.
Our benefits include:
At Tower, you’ll find a collaborative and welcoming culture, a diverse team and a workplace that values both performance and enjoyment. No unnecessary hierarchy. No ego. Just great people doing great work – together.
Quantitative Developer, Python - Trading Teams EMEA employer: Tower Research Capital
Contact Detail:
Tower Research Capital Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Developer, Python - Trading Teams EMEA
✨Tip Number 1
Familiarise yourself with Tower Research Capital's trading strategies and the specific tools they use. Understanding their approach to quantitative trading will help you tailor your discussions during interviews and demonstrate your genuine interest in their work.
✨Tip Number 2
Brush up on your Python skills, especially with libraries like Numpy and Pandas. Consider working on personal projects or contributing to open-source projects that showcase your ability to develop tools relevant to trading strategies.
✨Tip Number 3
Network with current or former employees of Tower Research Capital through platforms like LinkedIn. Engaging with them can provide insights into the company culture and the specific challenges faced by the EMEA Development team.
✨Tip Number 4
Prepare for technical interviews by practising problem-solving questions related to low-latency programming and quantitative research. Being able to demonstrate your analytical thinking and coding skills under pressure will set you apart from other candidates.
We think you need these skills to ace Quantitative Developer, Python - Trading Teams EMEA
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and any relevant statistical libraries like Numpy and Pandas. Emphasise your problem-solving skills and any experience in a production environment, as these are crucial for the role.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for quantitative trading and how your background aligns with Tower Research Capital's innovative approach. Mention specific projects or experiences that demonstrate your ability to improve research frameworks and support quantitative teams.
Showcase Relevant Projects: If you have worked on any projects related to low-latency programming, machine learning, or financial markets, be sure to include them in your application. This will help illustrate your hands-on experience and technical skills.
Highlight Communication Skills: Since the role involves close collaboration with quantitative researchers, emphasise your communication and teamwork abilities in your application. Provide examples of how you've successfully worked in a team or communicated complex ideas effectively.
How to prepare for a job interview at Tower Research Capital
✨Brush Up on Python and Statistical Libraries
Make sure you're well-versed in Python, especially with libraries like Numpy and Pandas. Be prepared to discuss your experience using these tools in a production environment, as this will be crucial for the role.
✨Showcase Your Problem-Solving Skills
Expect to face technical questions that assess your problem-solving abilities. Prepare examples from your past experiences where you tackled complex issues, particularly in fast-paced environments.
✨Understand the Trading Environment
Familiarise yourself with the basics of quantitative trading and financial markets. Even if you don't have direct experience, showing an understanding of how trading strategies work can set you apart.
✨Emphasise Teamwork and Communication
Since the role involves close collaboration with quantitative researchers, highlight your teamwork and communication skills. Be ready to share examples of how you've successfully worked in a team setting, especially in distributed environments.
