Quantitative Developer Tower Research Capital · London, United Kingdom a week ago

Tradermath; City of London; Hybrid; GBP 70,000 - 90,000; Full time

Job summary

A leading quantitative trading firm in the City of London is seeking a Quantitative Developer to enhance their execution services. The role involves designing and maintaining high-performance services in Rust and Python and collaborating on data pipelines. Ideal candidates will have a background in software engineering with experience in Python and a desire to work with complex quantitative problems. Competitive benefits and hybrid work options are available.

Benefits

Generous paid time off

Hybrid working opportunities

Daily meals and snacks

Wellness reimbursement programs

Workshops and continuous learning opportunities

Qualifications

• 2-5 years of software-engineering experience, including Python in production systems.
• Experience with real-time and historical market data.
• Familiarity with SQL and time-series data stores.

Responsibilities

• Design and implement high-performance services in Rust and Python.
• Translate research prototypes into production-ready code.
• Collaborate with researchers on data pipelines.

Skills

Software engineering in Python

Proficiency in Rust

Algorithms and data structures

SQL proficiency

Problem-solving abilities

Education

Bachelor’s or Master’s in Computer Science, Mathematics, or related STEM field

Tools

Linux

Git

CI/CD workflows

Job description

Quantitative Developer at Tower Research Capital

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)

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:

• 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.