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About the Role

Tower Research Capital is a leading quantitative trading firm seeking to empower portfolio managers and engineers with a high-performance platform. Engineers at Tower solve challenging problems in low-latency programming, FPGA technology, hardware acceleration, and machine learning. Business Support teams are essential to building and maintaining the platform that powers everything we do, enabling trading and engineering teams to perform at their best.

Responsibilities

Build, maintain, and improve internal tools, data workflows, and operational web applications.
Develop Python-based services, automation scripts, data processing jobs, and internal utilities.
Work with business users and engineers to understand requirements, clarify ambiguity, and deliver practical software solutions.
Design and maintain workflows for data ingestion, transformation, validation, reconciliation, and reporting.
Write and debug SQL queries used for reporting, investigation, and operational analysis.
Build and iterate on AI-enabled internal tools for the telco team, including an internal AI chatbot/assistant for operational support, billing investigation, documentation discovery, and workflow guidance.
Develop AI agent workflows and integrations with internal APIs, databases, and documentation sources using patterns such as Model Context Protocol (MCP), function/tool calling, retrieval-augmented generation (RAG), and secure permission-aware access.
Maintain backend APIs and frontend interfaces for internal applications.
Debug issues across application code, databases, APIs, logs, configuration, and deployment environments.
Improve reliability, observability, test coverage, documentation, and maintainability of existing systems.
Use Git-based development workflows, code reviews, CI/CD pipelines, and deployment processes.
Communicate progress, assumptions, risks, and blockers clearly and early.

Requirements

Degree in Computer Science, Engineering, Mathematics, Physics, or a related technical field, or equivalent practical experience.
3–5 years of professional software engineering experience.
Strong programming skills, preferably in Python.
Solid SQL skills and understanding of relational databases.
Experience working with production or business-critical codebases.
Experience with data workflows such as ETL, reporting, reconciliation, validation, or operational data processing.
Familiarity with web application development, backend APIs, and frontend/backend integration.
Comfortable working in Linux/Unix environments and using Git-based workflows.
Strong debugging and problem-solving skills across code, data, configuration, and environment issues.
Ability to work with ambiguous requirements, identify assumptions, ask targeted questions, and propose practical plans.
Strong ownership mindset and ability to drive well-scoped tasks to completion once context and direction are clear.
Clear communication skills, including concise status updates and early blocker reporting.
Ability to use AI coding tools thoughtfully while understanding, testing, and taking responsibility for the final output.

Skills

Python
SQL
ETL
Web application development
Backend APIs
Frontend/backend integration
Linux/Unix
Git
AI coding tools
Vue.js
Docker
Kubernetes
GitLab CI/CD
Django
Flask
FastAPI

Location

Work Type

Hybrid

Experience Level

3-5 years

Education Level

Degree in Computer Science, Engineering, Mathematics, Physics, or a related technical field, or equivalent practical experience.

Salary/Compensations

$130,000 - $170,000

Benefits

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
Company-sponsored sports teams and fitness events
Volunteer opportunities and charitable giving
Social events, happy hours, treats, and celebrations throughout the year
Workshops and continuous learning opportunities

About the Company

Tower Research Capital is a leading quantitative trading firm founded in 1998, built on a high-performance platform and independent trading teams with a 25+ year track record of innovation.
Tower is home to some of the world’s best systematic trading and engineering talent, empowering portfolio managers to build their teams and strategies independently.
Engineers thrive at Tower while developing electronic trading infrastructure at a world class level, solving 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.
At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential.
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.
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.

Equal Opportunity

Tower Research Capital is an equal opportunity employer.