Search the 7 jobs at Tower Research Capital

As a Technical Project Manager, you will oversee the entire lifecycle of software and hardware projects, manage schedules and risks, liaise between technology departments, and facilitate communication with stakeholders. You will also plan physical work in data centers and ensure compliance with market updates.

The Software Developer will design and implement a low latency high-frequency trading platform, assist in developing a tick-by-tick backtesting platform, optimize computational efficiency for machine learning algorithms, and create tools for analyzing market data to assist research productivity.

The Reliability Engineer will manage Order Management and Market Data Delivery Systems, provide support for production systems, coordinate with various teams to meet requirements, and enhance system reliability in a fast-paced trading environment.

The Risk Manager will oversee APAC trading activities, focusing on electronic trading and market risk. Responsibilities include enhancing risk management frameworks, controlling trading risks in real-time, conducting risk analysis, and improving risk analytics systems through collaboration with various teams.

The Quantitative Developer will enhance existing trading systems by developing software components for live trading and research, optimizing code performance, and maintaining CI pipelines. Responsibilities include designing ETL pipelines and improving system stability through monitoring and alerting.

The Telco Project Manager at Tower Research Capital in Singapore will be responsible for collaborating with the Networking team on the design/architecture of telecommunications circuits, managing service delivery lifecycle, coordinating with vendors, managing databases, and ensuring compliance with suppliers. The ideal candidate should have experience in strategic sourcing and the telecom industry, strong communication and negotiation skills, and the ability to work well under pressure.

Design and implement low latency high-frequency trading platforms using C++ and Python. Optimize machine learning algorithms for high performance. Develop systems and tools for historical market data analysis and trading simulations.