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Tower Research Capital

Quantitative Developer

Reposted 18 Days Ago
Be an Early Applicant
In-Office
London, Greater London, England
Mid level
In-Office
London, Greater London, England
Mid level
As a Quantitative Developer, you will build high-performance trading services, optimize code, and collaborate with researchers to enhance trading capabilities.
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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.

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. This role sits at the intersection of research and engineering—ideal for someone who has prior experience with execution algorithms and quantitative trading systems, and can translate research ideas into robust, high‑performance production software.
Responsibilities

  • Design, implement, and maintain high performance services in Rust and Python for our execution desk, including algo wheel, smart order routers, internalisers, etc.
  • Partner closely with our quantitative researchers to take research prototypes to production: refactoring, adding tests, telemetry, SLIs/SLOs, and CI/CD automation.
  • Write robust pipelines for market‑data ingestion, model training/inference, and post‑trade analytics.
  • Optimize for reliability and performance (throughput, tail‑latency, memory footprint) on distributed systems running in production trading environments.
  • Establish best practices in code quality, observability, and on‑call readiness; write clear documentation to enable effective collaboration across research and engineering.
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 or Rust.
  • Proficiency in a systems language—Rust preferred (C++/Go also acceptable)—and a desire to deepen that expertise.
  • Strong CS fundamentals: algorithms, data structures, concurrency, networking, and performance profiling.
  • Experience with real‑time and/or historical market data, or other high volume time series data.
  • Familiarity with SQL and at least one columnar/time‑series store (e.g., kdb+, ClickHouse, InfluxDB, Parquet/Arrow).
  • Proficiency with Linux development, Git, containers, and CI/CD workflows.
  • Excellent problem‑solving abilities, attention to detail, and clear communication skills
Nice to Have
  • Hands‑on exposure to execution algos, TCA, order routing, or market‑impact modeling.
  • Understanding of broker and exchange order entry APIs, and FIX/native protocols.
  • Experience building distributed systems with message buses (Kafka, ZeroMQ) and asynchronous I/O (e.g. tokio)
  • Knowledge of statistical/ML libraries and tooling (NumPy, pandas, scikit‑learn, PyTorch); experience shipping inference in production.
  • Experience with cloud or on‑prem orchestration and scheduling (Kubernetes, Ray, HTCondor, 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.

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.

Top Skills

Arrow
Ci/Cd
Clickhouse
Containers
Git
Ht Condor
Influxdb
Kafka
Kdb+
Kubernetes
Linux
Parquet
Python
Rust
Slurm
SQL
Zeromq

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