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As a Technical Financial Associate, you will analyze and manage telecommunication-related invoices, generate reports in Tableau, conduct cost analysis, and assist with internal chargebacks. You will also monitor billing variance and suggest improvements to management.
The Support Engineer will resolve incidents and requests, provide desktop support for Windows, Linux, and MacOS, manage hardware installations and upgrades, manage user accounts, and maintain documentation. They will also assist with server room management and support various AV hardware.
As a Machine Learning Engineer, you will develop data pipelines, design and implement deep learning architectures, conduct experiments to evaluate model performance, and optimize existing machine learning models. You will also build pipelines for monitoring and improving production ML/DL models.
The HPC/Storage/GPU Engineer will design, implement, and manage HPC systems for trading operations, optimize storage solutions, and develop GPU-based solutions using a developer mindset. Responsibilities include proposing Infrastructure as Code practices, collaborating with teams, troubleshooting technical issues, and ensuring infrastructure performance and scalability.
As a Quantitative Developer, you will enhance the research framework and support quantitative researchers in developing tools for trading strategies. Responsibilities include improving backtest simulations, maintaining research jobs, and collaborating with a global team on equity-related research.
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.
Design and implement high-frequency trading platform, optimize systems, develop risk controls, and shape future of Core Engineering team. Requires bachelor's or master's in computer science, 3+ years experience in C++, problem-solving skills, and Linux proficiency.
Take ownership of the current production code base in Python and Bash, monitor and fix any issues before trading opens, create new tools, and fix bugs in the C++ application code base. Requires Bachelor's degree in Computer Science or related field, 3 years of Python development experience, and good knowledge of Python language and submodules.
Design and implement a high-frequency trading platform, optimize platform performance, analyze system throughput and latency, shape the future of the Core Engineering team through interviewing
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