Quantitative Developer, Python

OverviewTower 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 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.DescriptionTower Research Capital, a high-frequency proprietary trading firm founded in 1998, seeks a Quant Developer to join one of its trading teams in London. You will be joining the EMEA Development team and as a Quant Developer, you will be in charge of improving the current research framework through the development of existing and new tools, and provide close day-to-day support to the quantitative research team on-site.ResponsibilitiesIterating quickly with on-site quantitative researchers on the research processes in order to improve the desk's quantitative trading strategies P&LDeveloping Python tools used in trading strategies researchImproving the existing simulation/backtest frameworkMonitoring & maintenance of quantitative research jobsHelp global research team on EMEA-related research through various communication channelsRequirementsBachelor's, Masters or PhD in Computer Science, Engineering, or a related field (or equivalent practical experience)Excellent knowledge of Python language and statistical libraries like Numpy, Pandas, PolarsDemonstrable experience in Python in a production environmentStrong problem-solving skills and the ability to work in a fast-paced, collaborative and geographically distributed environmentExcellent communication and teamwork abilitiesExperience with workflow management and task schedulingExperience in C++, Scripting languages such as Bash, and/or financial markets is preferred but not requiredBenefitsGenerous paid time off policiesSavings plans and other financial wellness tools available in each regionHybrid working opportunitiesFree breakfast, lunch, and snacks dailyIn-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 givingSocial events, happy hours, treats, and celebrations throughout the yearWorkshops and continuous learning opportunitiesTower Research Capital is an equal opportunity employer. #J-18808-Ljbffr