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- Tasks: Enhance research frameworks and support quantitative trading strategies with innovative tools.
- Company: Join Tower Research Capital, a leading quantitative trading firm with a stellar reputation.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Other info: Collaborative culture with intelligent colleagues and a focus on innovation.
- Why this job: Be part of a high-performance team and tackle exciting challenges in trading technology.
- Qualifications: Experience in Python and a passion for quantitative research and development.
The predicted salary is between 36000 - 60000 £ per year.
Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities.
Tower is home to some of the world’s best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization.
Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance.
At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do — combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best.
At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential.
Description
Tower Research Capital, a high-frequency proprietary trading firm founded in 1998, seeks a Quant Developer to join one of its trading teams in London. You will be joining the EMEA Development team and as a Quant Developer, you will be in charge of improving the current research framework through the development of existing and new tools, and provide close day-to-day support to the quantitative research team on-site.
Responsibilities
- Iterating quickly with on-site quantitative researchers on the research processes in order to improve the desk’s quantitative trading strategies P&L
- Developing Python tools used in trading strategies research
- Improving the existing simulation/backtest framework
- Monitoring & maintenance of quantitative research jobs
- Help global research team on EMEA-related research through various communication channels
Requirements
- Bachelor’s, Masters or PhD in Computer Science, Engineering, or a related field (or equivalent practical experience)
- Excellent knowledge of Python language and statistical libraries like Numpy, Pandas, Polars
- Demonstrable experience in Python in a production environment
- Strong problem-solving skills and the ability to work in a fast-paced, collaborative and geographically distributed environment
- Excellent communication and teamwork abilities
- Experience with workflow management and task scheduling
- Experience in C++, Scripting languages such as Bash, and/or financial markets is preferred but not required
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.
- Generous paid time off policies
- Savings plans and other financial wellness tools available in each region
- Hybrid working opportunities
- Free breakfast, lunch, and snacks daily
- In‑office wellness experiences and reimbursement for select wellness expenses (e.g., gym, personal training and more)
- Company-sponsored sports teams and fitness events (JPM Corporate Challenge, Cycle for Survival, Wall Street Rides FAR and more)
- Volunteer opportunities and charitable giving
- Social events, happy hours, treats, and celebrations throughout the year
- Workshops and continuous learning opportunities
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.
Tower Research Capital is an equal opportunity employer.
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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
Network like a pro! Reach out to current employees at Tower Research Capital on LinkedIn. Ask them about their experiences and any tips they might have for landing a role as a Quant Developer. Personal connections can make all the difference!
✨Tip Number 2
Prepare for technical interviews by brushing up on your Python skills and quantitative concepts. We recommend working on real-world problems or projects that showcase your abilities. The more you can demonstrate your expertise, the better your chances!
✨Tip Number 3
Don’t just apply and wait! Follow up on your application through our website. A quick message expressing your enthusiasm can show you're genuinely interested and keep you on the radar of hiring managers.
✨Tip Number 4
Showcase your problem-solving skills during interviews. Be ready to discuss how you've tackled challenges in past projects, especially those related to low-latency programming or machine learning. We love seeing candidates who can think on their feet!
We think you need these skills to ace Quantitative Developer, Python - Trading Teams EMEA
Some tips for your application 🫡
Show Your Passion for Quantitative Development: When writing your application, let your enthusiasm for quantitative development shine through. We want to see how your skills in Python and trading can contribute to our innovative environment at Tower.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for the Quant Developer role. Highlight relevant experiences and projects that align with our focus on low-latency programming and machine learning. We love seeing how you fit into our team!
Be Clear and Concise: Keep your application clear and to the point. We appreciate straightforward communication, so avoid jargon unless it’s necessary. Show us your ability to convey complex ideas simply, just like you would in a trading strategy.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Tower Research Capital
✨Know Your Python Inside Out
As a Quantitative Developer, you'll need to demonstrate your Python skills. Brush up on key libraries like NumPy and pandas, and be ready to discuss how you've used them in past projects. Practising coding problems related to quantitative finance can also give you an edge.
✨Understand the Trading Landscape
Familiarise yourself with the basics of quantitative trading and the specific strategies used by Tower Research Capital. Being able to discuss market trends and how they impact trading strategies will show that you're not just a coder, but someone who understands the business.
✨Prepare for Technical Questions
Expect technical questions that test your problem-solving abilities and understanding of algorithms. Practice explaining your thought process clearly and concisely, as communication is key when working with quantitative researchers.
✨Show Your Collaborative Spirit
Tower values teamwork, so be prepared to discuss how you've worked effectively in teams before. Share examples of how you've collaborated with others to solve complex problems, especially in high-pressure environments.