Software Engineer Intern (Summer 2027)

Tower Research Capital

New York (NY)

On-site

USD 159,000 - 191,000

Full time

6 days ago
Be an early applicant
Application generator

An application made for this job — a tailored resume and cover letter that speak straight to the posting.

Get past ATS filters

Benefits offered by this job

Housing accommodation
Free meals (breakfast/lunch/snacks)
Networking events
Mentorship opportunities
Learning and development

Job summary

Tower Research Capital is a leading quantitative trading firm focused on high-performance platform development and independent trading teams. We design and optimize low-latency systems, data pipelines, and AI-assisted automation to support algo trading globally.

As a student in CS or related fields, you will work on cutting-edge technology across Linux, C++, Go, Java, Python and more, while gaining exposure to financial markets and a collaborative, Monday-to-Friday work culture in NYC area.

Qualifications

  • Bachelor's, Master's, or PhD student in CS or related field.
  • Majoring in computer science or related field.
  • Deep knowledge of programming concepts and object-oriented programming.
  • Knowledge of SQL and relational databases.
  • Working knowledge of Linux.
  • Strong problem-solving abilities and communication skills.
  • Interest in financial markets.

Responsibilities

  • Optimizing systems by using network and systems programming, as well as other advanced techniques to minimize latency.
  • Designing, building, and leveraging systems to collect, analyze, and visualize large amounts of data.
  • Building data pipelines to capture reference and market data and developing systems that provide fast and easy access to them.
  • Building trading systems for algo trading.
  • Enhancing the efficiency of trading operations by developing (AI assisted) automation solutions and products.

Skills

Programming concepts
Linux
SQL
Problem solving
Communication
Financial markets interest

Education

Bachelor's, Master's, or PhD student
Majoring in computer science or related field

Tools

C++, Go, Java, JavaScript, Python, Rust

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 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
  • Optimizing systems by using network and systems programming, as well as other advanced techniques to minimize latency
  • Designing, building, and leveraging systems to collect, analyze, and visualize large amounts of data
  • Building data pipelines to capture reference and market data and developing systems that provide fast and easy access to them
  • Building trading systems for algo trading
  • Enhancing the efficiency of trading operations by developing (AI assisted) automation solutions and products
Qualifications
  • Bachelor's, Master's, or PhD student
  • Majoring in computer science or related fields
  • Deep knowledge of programming concepts and object-oriented programming
  • Knowledge of development languages (including C++, Golang, Java, JavaScript, Python, or Rust)
  • Knowledge of SQL and relational databases
  • Working knowledge of Linux
  • Strong problem-solving abilities and communication skills
  • Interest in financial markets

Anticipated weekly base salary range $3,500-$4,200.

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.

Get your free, confidential resume review.

or drag and drop your file here.

Similar jobs

Similar jobs worth comparing

Quantitative Trader/Researcher - 2027
Quantitative Trader/Researcher - 2027

Tower Research Capital • New York (NY)

Hybrid
USD 150,000 - 250,000
Generous PTO
Hybrid work
Free meals
+5
Quantitative Trader Intern (PhD 2026)
Quantitative Trader Intern (PhD 2026)

Aplaro Ltd • New York (NY)

On-site
Competitive compensation package
Free breakfast, lunch, and snacks
Networking and social events
+2
Trading Operations Associate
Trading Operations Associate

Tower Research Capital • New York (NY)

Hybrid
USD 120,000 - 200,000
Hybrid working
Free meals
Wellness reimbursement
+3
Quantitative Trader / Researcher - US
Quantitative Trader / Researcher - US

Tower Research Capital • Miami (FL)

Hybrid
USD 120,000 - 200,000
Generous paid time off
Hybrid working opportunities
Wellness programs
+5
Quantitative Trader / Researcher - US
Quantitative Trader / Researcher - US

Tower Research Capital • Town of Charleston (NY)

Hybrid
USD 120,000 - 200,000
Generous paid time off policies
Hybrid working opportunities
Free breakfast, lunch, and snacks daily
+2
Quantitative Developer, Python
Quantitative Developer, Python

Tower Research Capital • New York (NY)

Hybrid
USD 150,000 - 200,000
Generous paid time off policies
Savings plans and financial wellness tools
Hybrid working opportunities
+6
Trading Operations Engineer Tower Research Capital · Grand Cayman, United States 10 hours ago
Trading Operations Engineer Tower Research Capital · Grand Cayman, United States 10 hours ago

Tradermath • Northern (KY)

Hybrid
USD 120,000 - 180,000
Hybrid work opportunities
Generous paid time off
Wellness reimbursement
Quantitative Trader/Researcher Intern - Summer 2027
Quantitative Trader/Researcher Intern - Summer 2027

Tower Research Capital • New York (NY)

On-site
USD 182,000 - 296,000
Competitive compensation package
Housing accommodation
Free breakfast, lunch, and snacks daily
+2
Senior Quantitative Researcher
Senior Quantitative Researcher

Tower Research Capital • New York (NY)

Hybrid
USD 120,000 - 200,000
Generous paid time off
Hybrid working opportunities
Free breakfast, lunch, and snacks
+2
Production Trader
Production Trader

Trading Interview • New York (NY)

On-site
USD 120,000 - 200,000