Trading Systems Support Analyst

Tower Research Capital

City Of London

On-site

GBP 65,000 - 90,000

Full time

3 days ago
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Benefits offered by this job

Generous paid time off policies
Hybrid working opportunities
Free breakfast, lunch, and snacks
Wellness reimbursements
Company-sponsored fitness events
Volunteer opportunities
Social events and learning workshops
Learning opportunities and training

Job summary

Tower Research Capital is based in London and seeks a capable support engineer to work with traders and engineers on a fast-paced platform. You’ll diagnose production issues, contribute to system design, and help evolve our Python framework and monitoring stack.

Expected to engage with brokers and exchanges, provide after-hours coverage, and travel to other locations as needed. Strong English communication and a passion for learning are essential.

Qualifications

  • 3-5 years in a high-pressure environment with production-issues resolution.
  • Understanding of electronic trading and financial instruments such as equities, futures and options.
  • Ability to manage multiple tasks in a fast-paced environment with strong ownership.
  • Strong Unix skills and Python programming.
  • Experience with Grafana.
  • Good understanding of networking and system concepts.
  • Willingness to take on tasks both big and small.
  • Excellent communication skills and fluency in English.
  • A passion for learning and innovative problem solving.
  • Experience with SQL and the use of databases is a plus.

Responsibilities

  • Working closely with traders to understand their needs.
  • Solving problems by providing level one and level two support for our production systems.
  • Contributing to the design and implementation of the support system to enhance reliability and self-correction.
  • Enhancing our existing Python framework, driving its growth and contributing to the codebase.
  • Harnessing AI-powered solutions to significantly reduce time-to-market for system changes.
  • Contributing to the monitoring stack and reporting on the status and health of our systems.
  • Serving as the primary technical contact for brokers and exchanges.
  • Providing periodic after-hours coverage.

Skills

Unix
Python
Troubleshooting
Multitasking
English
Networking
SQL
Problem solving
Electronic trading knowledge
AI/problem solving

Tools

Grafana

Job description

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. This position is based in London. Some travels to other locations including outside of EMEA may be necessary from time to time.

Responsibilities
  • Working closely with traders to understand their needs
  • Solving problems by providing level one and level two support for our production systems
  • Contributing to the design and implementation of the support system to enhance reliability and self-correction
  • Enhancing our existing Python framework, driving its growth and contributing to the codebase
  • Harnessing AI-powered solutions to significantly reduce time-to-market for system changes
  • Contributing to the monitoring stack and reporting on the status and health of our systems
  • Serving as the primary technical contact for brokers and exchanges
  • Providing periodic after-hours coverage
Qualifications
  • 3-5 years working in a high pressure environment, including diagnosing and resolving production issues on the fly
  • Good understanding of electronic trading and/or financial instruments including equities, futures, and options
  • The ability to manage multiple tasks in a fast-paced environment while demonstrating true ownership
  • Strong Unix skills along with programming skills in Python and experience in
  • Experience working with Grafana
  • Good understanding of networking and system concepts
  • The willingness to take on tasks both big and small
  • Excellent communication skills and fluency in English
  • A passion for learning and innovative problem-solving
  • Experience with SQL and the use of databases is a plus

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, scheduling tools like Airflow Experience working with Grafana Good understanding of networking and system concepts The willingness to take on tasks both big and small Excellent communication skills and fluency in English A passion for learning and innovative problem-solving Experience with SQL and the use of databases is a plus. Tower Research Capital is an equal opportunity employer.

Benefits
  • 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
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