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Software Engineer Trading Firm Jobs in Spring, TX

ATSER

Software Engineer

Houston, TX

The philosophy of the firm is to provide state-of-the-art technology in engineering, materials, and ... Ability to communicate across different levels of the business (for example, trading desks and ...

ATSER

Software Engineer

Houston, TX · On-site

The philosophy of the firm is to provide state-of-the-art technology in engineering, materials, and ... Ability to communicate across different levels of the business (for example, trading desks and ...

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All JobsSoftware Engineer Trading Firm JobsSoftware Engineer Trading Firm Jobs in Spring, TX

Software Engineer Trading Firm information

See Spring, TX salary details

$56.5K

$131.3K

$182.9K

How much do software engineer trading firm jobs pay per year?

As of Aug 26, 2026, the average yearly pay for software engineer trading firm in Spring, TX is $131,280.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,800.00 and $154,000.00 per year, depending on experience, location, and employer.

What does a software engineer do at a trading firm?

A Software Engineer at a trading firm designs, develops, and maintains software systems that support trading activities. This includes building high-performance trading platforms, developing algorithms for automated trading, and ensuring low-latency data processing. They collaborate closely with traders, quantitative analysts, and other engineers to create solutions that give the firm a technological edge in the markets. Their work often involves using languages like C++, Python, or Java and working with real-time data feeds and large-scale distributed systems. The role requires strong problem-solving skills and a deep understanding of both technology and financial markets.

How does a software engineer at a trading firm typically collaborate with traders and quantitative analysts?

As a Software Engineer at a trading firm, you will frequently work closely with traders and quantitative analysts to design, develop, and refine trading systems. Collaboration often involves understanding trading strategies, implementing algorithmic models, and ensuring low-latency performance. Regular communication is essential, as you may need to quickly adapt code based on market changes or new requirements. This cross-functional teamwork fosters a dynamic environment where your technical skills directly impact trading outcomes and business success.

What are the key skills and qualifications needed to thrive as a software engineer at a trading firm, and why are they important?

To thrive as a Software Engineer at a trading firm, you need strong programming skills (commonly in C++, Python, or Java), a solid understanding of algorithms and data structures, and at least a bachelor's degree in computer science or a related field. Familiarity with low-latency systems, financial market APIs, and experience with tools like Git and Jenkins are typically required, and certifications in finance or technology can be advantageous. Exceptional problem-solving abilities, attention to detail, and the ability to work collaboratively under pressure are key soft skills for this role. These competencies ensure that you can build efficient, reliable trading systems that respond to market demands in real time and support the firm's competitive edge.

What is the difference between Software Engineer Trading Firm vs Quantitative Analyst?

AspectSoftware Engineer Trading FirmQuantitative Analyst
Required CredentialsBachelor's/Master's in CS, Engineering, or related fields; coding skillsDegree in Math, Statistics, or Finance; strong analytical skills
Work EnvironmentCollaborative, fast-paced trading floor or tech teamsResearch-focused, data-driven analysis teams
Employer & Industry UsageFinancial firms, hedge funds, trading firmsInvestment banks, hedge funds, asset management
Common Search & ComparisonOften compared for technical skills and coding rolesCompared for analytical and modeling expertise

While both roles operate within trading firms, Software Engineers focus on developing trading systems and infrastructure, whereas Quantitative Analysts primarily build models and analyze data to inform trading strategies. Both roles require strong technical skills but differ in their core responsibilities and focus areas.

What are popular job titles related to Software Engineer Trading Firm jobs in Spring, TX?

For Software Engineer Trading Firm jobs in Spring, TX, the most frequently searched job titles are:

What job categories do people searching Software Engineer Trading Firm jobs in Spring, TX look for?

The top searched job categories for Software Engineer Trading Firm jobs in Spring, TX are:

What cities near Spring, TX are hiring for Software Engineer Trading Firm jobs?

Cities near Spring, TX with the most Software Engineer Trading Firm job openings:

Software Engineer Trading Firm jobs near you

Lead Software Engineer - Trading Applications - C#/Typescript/React

Houston, TX • On-site

JPMorgan Chase & Co.
Finance and Insurance • 10K+ employees

8.0

Company rating: 8.0 out of 10

Based on 497 frontline employees who took The Breakroom Quiz

70th of 172 rated banks

People enjoy working here

Good employer

Recommended by students

Learn more about JPMorgan Chase & Co.external

$140 - $190/hr

Other

This job post has expired today. Applications are no longer accepted.

Job description

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer at JPMorganChase within the Consumer and Community Banking - Equities Sales & Trading Technologyteam, you are an integral part of an agile team that works to enhance, build, and deliver trusted market‑leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities
  • Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
  • Develops secure and high-quality production code, and reviews and debugs code written by others
  • Drives team adoption of enterprise-authorized AI‑assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI‑assisted code review/refactoring, test strategy acceleration, incident/root‑cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
  • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI‑assisted development and automation capabilities, to improve the value realized by automation.
  • Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
  • Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes‑oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture.
  • Develops high performance, low latency order management systems and GUIs to support global trading desks and flows, like Cash, Delta1 and ETF RFQ.
Required qualifications, capabilities, and skills
  • Formal training or certification on software engineering concepts and 5+ years applied experience
  • Hands‑on practical experience delivering system design, application development, testing, and operational stability
  • Advanced in one or more programming language(s), TypeScript/React or C#/.NET.
  • Professional experience building high performance UIs using web or native stacks
  • Experience in Distributed Systems, UX / UIand Web Development & Services
  • Demonstrated experience leading effective use of approved AI‑assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
  • Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
  • Proficient in all aspects of the Software Development Life Cycle
  • Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
Preferred qualifications, capabilities, and skills
  • In-depth knowledge of the financial services industry and their IT systems
  • Practical cloud native experience
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