Production Trader

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.

We are seeking a talented and experienced Production Trader to join a Market Making team focusing on futures, ETFs and stocks in a fully automatised, low latency environment.

Responsibilities

• Ensuring the systems operate smoothly: run and monitor the trading systems
• Managing book sizes and various risks
• In charge of pricing of ETFs, EFPs, BTICs
• Proposing enhancements to the strategies/systems: working in conjunction with IT and Quants.

Qualifications

• Masters or PhD degree in Mathematics, Statistics, Computer Science or equivalent STEM degree
• 3-7 years experience in the financial industry (experience in quantitative trading is preferred but not a requirement)
• A strong background in STEM
• Proficiency in back-testing, simulation, and statistical techniques (auto-regression, auto-correlation and Principal Component Analysis)
• Solid data-mining and analysis skills, including experience dealing with a large amount of data/tick data
• Familiarity with signal generation and statistical models
• Strong programming skills in Python