Tower Research Capital LLC
Join to apply for the
Senior Software Developer, Python
role at
Tower Research Capital Join to apply for the
Senior Software Developer, Python
role at
Tower Research Capital Get AI-powered advice on this job and more exclusive features. 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 worlds 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.
Responsibilities:
Working as part of our quant research technology team Architecting our core platform responsible for deploying and managing trading software and infrastructure in an automated fashion, with an emphasis on automation, reliability, and observability of the system Integrating evolving trading topologies and workflows Working on our core Python data science platform to support the teams trading research globally Solving problems with mission-critical production and monitoring systems in a scalable manner, while supporting rapidly increasing compute (hybrid clusters with CPUs and GPUs) and high-performance storage needs (with many petabytes of data) Continuously reducing operational overhead by automating complex processes and distributed systems Taking a lead in identifying robustness and efficiency improvements so that systems can meet the growing scale of trading strategies under extreme market conditions Working in a fast-paced, close-knit, and dynamic environment, understanding requirements and implementing ideas with a quick turnaround when needed
Qualifications:
At least 4 years of experience designing robust distributed systems, with a passion for reliability and high availability at scale Extensive experience with software and infrastructure automation Proficiency in Python, with knowledge of Numpy, Pandas/Polars, Cython, and other Python data-science frameworks Prior experience with building observability and monitoring solutions Knowledge of containerization technologies like Docker, Podman, and Kubernetes is a strong plus Familiarity with orchestration and deployment management tools like Ansible, Terraform, and Airflow Motivation to work on architectural solutions, with an emphasis on code quality and modular design Strong troubleshooting and problem-solving skills Motivation to learn new technologies and the ability to work independently
Towers headquarters are in the historic Equitable Building, right in the heart of NYCs 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 Survival, Wall Street Rides FAR and more) Volunteer opportunities and charitable giving Social events, happy hours, treats, and celebrations throughout the year Workshops and continuous learning opportunities
At Tower, youll find a collaborative and welcoming culture, a diverse team and a workplace that values both performance and enjoyment. No unnecessary hierarchy. No ego. Just great people doing great work together.
Tower Research Capital is an equal opportunity employer.
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Engineering and Information Technology Referrals increase your chances of interviewing at Tower Research Capital by 2x Sign in to set job alerts for Senior Software Engineer roles.
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Senior Software Developer, Python
role at
Tower Research Capital Join to apply for the
Senior Software Developer, Python
role at
Tower Research Capital Get AI-powered advice on this job and more exclusive features. 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 worlds 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.
Responsibilities:
Working as part of our quant research technology team Architecting our core platform responsible for deploying and managing trading software and infrastructure in an automated fashion, with an emphasis on automation, reliability, and observability of the system Integrating evolving trading topologies and workflows Working on our core Python data science platform to support the teams trading research globally Solving problems with mission-critical production and monitoring systems in a scalable manner, while supporting rapidly increasing compute (hybrid clusters with CPUs and GPUs) and high-performance storage needs (with many petabytes of data) Continuously reducing operational overhead by automating complex processes and distributed systems Taking a lead in identifying robustness and efficiency improvements so that systems can meet the growing scale of trading strategies under extreme market conditions Working in a fast-paced, close-knit, and dynamic environment, understanding requirements and implementing ideas with a quick turnaround when needed
Qualifications:
At least 4 years of experience designing robust distributed systems, with a passion for reliability and high availability at scale Extensive experience with software and infrastructure automation Proficiency in Python, with knowledge of Numpy, Pandas/Polars, Cython, and other Python data-science frameworks Prior experience with building observability and monitoring solutions Knowledge of containerization technologies like Docker, Podman, and Kubernetes is a strong plus Familiarity with orchestration and deployment management tools like Ansible, Terraform, and Airflow Motivation to work on architectural solutions, with an emphasis on code quality and modular design Strong troubleshooting and problem-solving skills Motivation to learn new technologies and the ability to work independently
Towers headquarters are in the historic Equitable Building, right in the heart of NYCs 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 Survival, Wall Street Rides FAR and more) Volunteer opportunities and charitable giving Social events, happy hours, treats, and celebrations throughout the year Workshops and continuous learning opportunities
At Tower, youll find a collaborative and welcoming culture, a diverse team and a workplace that values both performance and enjoyment. No unnecessary hierarchy. No ego. Just great people doing great work together.
Tower Research Capital is an equal opportunity employer.
Seniority level
Seniority level
Mid-Senior level Employment type
Employment type
Full-time Job function
Job function
Engineering and Information Technology Referrals increase your chances of interviewing at Tower Research Capital by 2x Sign in to set job alerts for Senior Software Engineer roles.
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