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Quantitative Developer (C++)

Tower Research Capital
CompanyTower Research Capital
CategoryEngineering
LocationHong Kong
RemoteOn-site (inferred)
EmploymentNot stated
LevelNot stated
SalaryNot stated by the employer
Posted2 Oct 2024
Last verified30 Jul 2026
SourceEmployer career page (greenhouse)
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Description
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. You will be working for a successful MFT trading team, helping to enhance existing capabilities and increase robustness of live trading. Responsibilities Designing and implementing a low latency high-frequency trading platform Assisting in the development of a tick by tick backtesting research platform Assisting in development and optimizing large-scale parallel computation problems that requires large quantities of data shared across resources Optimizing the computational efficiency of existing machine learning based algorithms to drive higher performance and faster learning rates Developing systems, interfaces and tools to historical market data and trading simulations that increase research productivity Creating tools to analyze data and generate insights that research decisions are based on Qualifications 1-5 years of practical experience with C++ and 1-2 years of meaningful experience with Python A strong background in data structures, algorithms, and object-oriented programming Demonstrated academic excellence Strong working knowledge of Linux, and some SQL knowledge Brilliant detail oriented problem-solving abilities Passion for innovation and building systems from the ground up A self-starter attitude with the ability to work independently and own problems The ability to manage multiple tasks and make decisions in a fast-paced environment Strong communication skills in English for business purposes 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 Surviva
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Quantitative Developer (C++) — Tower Research Capital · Job Opportunities API