At a Glance
- Tasks: Build high-performance trading services using Rust and Python, collaborating with researchers and traders.
- Company: Join Tower Research Capital, a leading quantitative trading firm with a global impact.
- Benefits: Enjoy generous paid time off, hybrid work options, free meals, and wellness reimbursements.
- Why this job: Make a real impact in the fast-paced world of quantitative trading while working with top talent.
- Qualifications: Bachelor's or Master's in STEM, 2-5 years of software engineering experience, and proficiency in Python and Rust.
- Other info: Experience a collaborative culture with continuous learning opportunities and no unnecessary hierarchy.
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, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential.
Responsibilities
- Tower Research Capital seeks a Quantitative Developer to join the Core Engineering team to help build out our Quantitative Execution Services. You will be closely working with researchers and traders on the Central Execution Desk, directly contributing to scale up Tower's Mid-Frequency Trading capabilities.
- Design, implement, and maintain high-performance services in Rust and Python for market-data ingestion, ML pipelines, and post-trade analytics.
- Translate research prototypes into production-ready code, adding testing, monitoring, and CI/CD automation.
- Optimise existing code for throughput, memory footprint, and reliability on distributed systems.
- Collaborate closely with quantitative researchers to iterate on data pipelines, simulation frameworks, and performance diagnostics.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related STEM field.
- 2-5 years of professional software-engineering experience, including production systems written in Python.
- Proficiency in a systems language - Rust preferred (C++/Go also acceptable) - and the desire to deepen that expertise.
- Strong computer-science fundamentals: algorithms, data structures, concurrency, networking, and performance profiling.
- Experience working with real-time and historical market data or other high-volume time-series data.
- Proficiency with Linux development, Git, containers, and CI/CD workflows.
- Familiarity with SQL and at least one columnar or time-series data store (e.g., kdb+, ClickHouse, InfluxDB, Parquet/Arrow).
- Excellent problem-solving abilities, attention to detail, and clear communication skills.
Nice To Have:
- Prior exposure with execution algos, TCA, order-routing, or market-impact modelling.
- Knowledge of statistical or machine-learning libraries (NumPy, pandas, scikit-learn, PyTorch).
- Experience building distributed systems with message buses (Kafka, ZeroMQ) and asynchronous I/O.
- Experience with cloud or on-prem orchestration and scheduling frameworks (Kubernetes, HT Condor, SLURM).
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.
Quantitative Developer in City of London employer: Tower Research Capital
Contact Detail:
Tower Research Capital Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Developer in City of London
✨Tip Number 1
Network like a pro! Reach out to current employees at Tower Research Capital on LinkedIn or through mutual connections. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio of projects that highlight your experience with Rust, Python, and any relevant machine learning work. This will help you stand out during interviews and showcase your practical knowledge.
✨Tip Number 3
Practice makes perfect! Brush up on your coding skills and algorithms. Use platforms like LeetCode or HackerRank to solve problems similar to what you might face in the interview process at Tower.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the Tower team.
We think you need these skills to ace Quantitative Developer in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Quantitative Developer role. Highlight your experience with Python and Rust, and don’t forget to mention any relevant projects or systems you've worked on that align with our needs.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about quantitative trading and how your skills can contribute to our Core Engineering team. Keep it concise but impactful!
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled complex problems in your previous roles. We love seeing clear communication of your thought process and the results you achieved!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Tower Research Capital
✨Know Your Tech Inside Out
Make sure you’re well-versed in Rust and Python, as these are key for the role. Brush up on your knowledge of algorithms, data structures, and concurrency, as you might be asked to solve problems on the spot.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles, especially those involving high-volume time-series data. Be ready to explain how you approached these problems and what solutions you implemented.
✨Familiarise Yourself with Market Data
Since the role involves working with market-data ingestion and analytics, it’s crucial to understand real-time and historical market data. Research common practices and tools used in quantitative trading to demonstrate your interest and knowledge.
✨Communicate Clearly and Collaboratively
As collaboration is key at Tower, practice articulating your thoughts clearly. Be prepared to discuss how you’ve worked with teams in the past, particularly with researchers or traders, to develop and optimise systems.