Financial Trading Systems Engineer

TEEMA; Chicago (IL); On-site; USD 80,000 - 110,000; Full time

Job summary

TEEMA in Chicago is seeking a Software Engineer to bridge business needs with technical execution. You will transform business requirements into scalable solutions, focusing on automation, API integrations, and maintaining core database infrastructure.

This role offers high autonomy and impact, with responsibility for shaping systems that will support the company's growth. You should have strong fundamentals in software engineering and experience with financial products. Opportunities for AI-assisted development are included.

Qualifications

• Strong software engineering fundamentals including SQL and API integration experience.
• Solid understanding of financial products like structured notes, derivatives, and fixed income.
• Experience with AI-assisted development tools such as Claude, GitHub Copilot, or similar.

Responsibilities

• Build and maintain internal software systems that reduce reliance on third-party tools.
• Automate manual workflows across sales operations, reporting, and client delivery.
• Manage and enhance the company’s central database and system integrations.

Skills

Software engineering fundamentals

SQL

API integration experience

Clean code practices

AI-assisted development tools

Communication with non-technical stakeholders

Education

Degree in Computer Science, Financial Engineering, Operations Engineering or related

Job description

Overview

You’ll work directly with the Head of Product as the critical bridge between business needs and technical execution. In this role, you’ll transform business requirements into scalable software solutions — replacing external tools with internally owned systems, automating manual workflows, managing API integrations, and maintaining the core database infrastructure that supports the business.

This is a high-impact, high-autonomy opportunity where your work will directly influence the company’s growth and operational efficiency. Within your first 6 months, you’ll take ownership of the full lifecycle from business request to deployed solution. Within 12 months, the systems you build will serve as foundational infrastructure for the company’s next stage of growth.

What You’ll Do

• Build and maintain internal software systems that reduce reliance on third-party SaaS tools and strengthen ownership of core infrastructure
• Automate manual workflows across sales operations, reporting, and client delivery
• Utilize AI-assisted development tools (such as Claude Code, Copilot, or similar) to accelerate development and problem-solving
• Manage and enhance the company’s central database and the integrations connecting critical business systems
• Translate business and operational requirements into technical specifications and production-ready code
• Maintain strong engineering discipline through version control, testing, documentation, and clean deployment practices
• Hold a degree in Computer Science, Financial Engineering, Operations Engineering, or a related quantitative discipline
• Have strong software engineering fundamentals, including SQL and API integration experience
• Possess foundational knowledge of financial products such as structured notes, derivatives, fixed income products, or trading concepts
• Take pride in writing clean, maintainable, high-quality code
• Are enthusiastic about AI-assisted development and have experience using tools like Claude, GitHub Copilot, or similar technologies
• Thrive in fast-paced, entrepreneurial environments with a high level of ownership and autonomy
• Can communicate technical concepts and tradeoffs effectively with non-technical stakeholders
• Are naturally curious, innovative, and collaborative when solving business problems

You May Not Be a Fit If You…

• Prefer to specialize deeply in a single technology without engaging in broader business challenges
• Require extensive structure, rigid specifications, or large team environments to succeed
• Are uncomfortable working through ambiguity or shifting priorities
• Prefer maintaining existing systems over building and improving new ones
• Have little interest in financial products, markets, or investment-related technology
• View AI development tools as a threat rather than a productivity advantage