Job 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. Responsibilities: Architect and optimize performant low-latency trading and high-throughput training systems Work extensively with traders and researchers Creating tools to analyze data for patterns Make market observations and conducting post-trade analysis Developing, augmenting, and calibrating exchange simulators Operate the team’s high-frequency trading strategies Qualifications: Bachelor’s, Master’s, or PhD student Majoring in computer science, mathematics, physics, electrical engineering, or related fields Proficient in an object-oriented programming language (C++ and Python preferred) A working knowledge of Linux/Unix Strong problem-solving abilities A passion for new technologies and ideas The ability to manage multiple tasks in a fast-paced environment Strong communication skills Interest in financial markets Preferred Qualifications (not required): Past industry experience Experience as a Teaching Assistant and/or participation in relevant Olympiads Familiarity with machine learning, data analysis, market research and data modeling Anticipated New York and Chicago weekly base salary range $3,500-5,700. 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: Competitive compensation package Housing accommodation Free breakfast, lunch, and snacks daily Exciting networking and social events (e.g. Broadway shows, escape rooms, cooking classes) Opportunities to learn from senior management across the firm Mentors from your alma mater and other top institutions 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.

Requirements

Must-haves

At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential.
Architect and optimize performant low-latency trading and high-throughput training systems
Work extensively with traders and researchers
Creating tools to analyze data for patterns
Make market observations and conducting post-trade analysis
Developing, augmenting, and calibrating exchange simulators
Operate the team’s high-frequency trading strategies
Bachelor’s, Master’s, or PhD student
Majoring in computer science, mathematics, physics, electrical engineering, or related fields
A working knowledge of Linux/Unix
Strong problem-solving abilities
A passion for new technologies and ideas
The ability to manage multiple tasks in a fast-paced environment
Strong communication skills
Interest in financial markets
Past industry experience
Experience as a Teaching Assistant and/or participation in relevant Olympiads
Familiarity with machine learning, data analysis, market research and data modeling
Competitive compensation package
Housing accommodation
Free breakfast, lunch, and snacks daily
Exciting networking and social events (e.g. Broadway shows, escape rooms, cooking classes)
Opportunities to learn from senior management across the firm

Nice-to-haves

Proficient in an object-oriented programming language (C++ and Python preferred)

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learningpython

Platform: greenhouse
Effort: quick