Python Developer

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 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 on team’s core python data science platform to support global trading research

• Building ETL pipelines on top of internal and external data sources to drive business analytics

• Researching solutions to allow increasingly sophisticated visualizations

• Developing / improving frameworks to better leverage our cloud + on-prem compute and storage clusters

• Developing, testing and documenting existing in-house tools to improve their quality, reliability and supportability

• Automating existing support workflows to reduce operational burden and design new tools to improve efficiency

• Qualifications: The ideal candidate will have:

• ​A bachelor’s degree in computer science from a top-tier college or university

• 3 to 5 years of relevant experience in designing and improving information systems.

• Proficiency with Python and knowledge of NumPy, Pandas/Polars, Cython and other python data science frameworks

• Thorough understanding of Linux fundamentals and C++ compiling/linking/loading process.

• Experience with Source Control Management, CI/CD pipelines, ELK and other observability frameworks will be an added advantage

• Brilliant problem-solving abilities. Most problems require high-availability, high-throughput and low latency solutions.

• 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 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, you’ll 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.

- Working on team’s core python data science platform to support global trading research

• Building ETL pipelines on top of internal and external data sources to drive business analytics

• Researching solutions to allow increasingly sophisticated visualizations

• Developing / improving frameworks to better leverage our cloud + on-prem compute and storage clusters

• Developing, testing and documenting existing in-house tools to improve their quality, reliability and supportability

• Automating existing support workflows to reduce operational burden and design new tools to improve efficiency

The ideal candidate will have:

• ​A bachelor’s degree in computer science from a top-tier college or university

• 3 to 5 years of relevant experience in designing and improving information systems.

• Proficiency with Python and knowledge of NumPy, Pandas/Polars, Cython and other python data science frameworks

• Thorough understanding of Linux fundamentals and C++ compiling/linking/loading process.

• Experience with Source Control Management, CI/CD pipelines, ELK and other observability frameworks will be an added advantage

• Brilliant problem-solving abilities. Most problems require high-availability, high-throughput and low latency solutions.