Software Engineer of Price & Risk Trading

HIGH FREQUENCY TRADING; Chicago (IL); On-site; USD 120,000 - 160,000; Full time

Job summary

HIGH FREQUENCY TRADING is seeking a Software Engineer to build scalable Python/Java applications and data-driven platforms for high-volume trading environments in Chicago. You will design backend services, dashboards, and data pipelines, work with large datasets and modern data infrastructure, and collaborate with cross-functional teams from product to quant research.

This role emphasizes production-quality software, ownership of projects through the full SDLC, and delivering reliable,

Qualifications

• 3+ years of software engineering experience.
• Strong programming experience in Python and/or Java.
• Experience designing, building, and supporting production-level applications.

Responsibilities

• Design, develop, and maintain scalable software applications using Python and/or Java.
• Build analytical tools, dashboards, and applications transforming complex datasets into insights.
• Develop and optimize backend services, APIs, and data processing pipelines.
• Work with large-scale datasets, relational databases, and modern data infrastructure.
• Collaborate with cross-functional teams to gather requirements and deliver technical solutions.
• Improve application performance, reliability, scalability, and overall system architecture.
• Contribute to design and development of new platforms while enhancing existing systems.
• Take ownership of projects through the entire software development lifecycle from design to production deployment.

Skills

Python

Java

APIs

Data processing

Troubleshooting

Collaboration

Tools

Kubernetes

Docker

PostgreSQL

ClickHouse

Parquet

Hadoop

Cloud

Job description

Software Engineer – Python / Data Platforms

Confidential Opportunity | Financial Services / Capital Markets

About the Opportunity

We are partnering with an top high frequency trading shop that is seeking a Software Engineer to develop scalable applications, analytical tools, and data-driven platforms.

This position offers the opportunity to work on technically challenging projects involving large datasets, backend engineering, distributed systems, and modern application development.

The ideal candidate enjoys building production-quality software, solving complex data problems, and working closely with technical and business stakeholders to deliver impactful solutions.

Key Responsibilities

• Design, develop, and maintain scalable software applications using Python and/or Java.
• Build analytical tools, dashboards, and applications that transform complex datasets into actionable insights.
• Develop and optimize backend services, APIs, and data processing pipelines.
• Work with large-scale datasets, relational databases, and modern data infrastructure.
• Collaborate with cross-functional teams to gather requirements and deliver technical solutions.
• Improve application performance, reliability, scalability, and overall system architecture.
• Contribute to the design and development of new platforms while enhancing existing systems.
• Take ownership of projects throughout the software development lifecycle, from initial design through production deployment.

Required Qualifications

• 3+ years of professional software engineering experience.
• Strong programming experience with Python and/or Java.
• Experience designing, building, and supporting production-level applications.
• Understanding of backend development, APIs, and software architecture.
• Experience working with databases, data-intensive applications, or data processing systems.
• Strong analytical, troubleshooting, and problem-solving abilities.
• Ability to work independently, take ownership, and collaborate effectively with technical teams.

Preferred / Additional Experience

Experience with any combination of the following would be beneficial:

• Distributed systems and service-oriented architectures.
• Kubernetes, Docker, and containerized applications.
• PostgreSQL, ClickHouse, or comparable database technologies.
• Data pipelines, ETL processes, and large-scale data platforms.
• Parquet, Hadoop, or similar data storage and processing technologies.
• Cloud infrastructure and modern deployment practices.
• Financial services, capital markets, quantitative systems, or risk analytics.

Additional details regarding the organization, team, and specific projects will be shared with qualified candidates during the recruitment process.