At a Glance
- Tasks: Design and optimise algorithmic trading engines for options instruments using Java.
- Company: Join JPMorganChase, a leader in electronic trading technology.
- Benefits: Competitive salary, diverse culture, and opportunities for growth and skill development.
- Other info: Embrace diversity and innovation while driving operational excellence.
- Why this job: Make a real impact in a fast-paced environment with cutting-edge technology.
- Qualifications: Advanced Java skills and experience in algorithmic trading systems required.
The predicted salary is between 76023 - 95029 £ per year.
Are you ready to make a meaningful impact and advance your career in a dynamic, fast-paced team? At JPMorganChase, you'll help build market-leading technology products that power our electronic trading business. You'll work alongside talented professionals who value creativity, collaboration, and continuous learning. We offer opportunities for growth, skill development, and the chance to push the boundaries of what’s possible. Your expertise will help us deliver secure, stable, and scalable solutions that drive our business forward.
As a Lead Software Engineer in the Options Algorithmic Trading team within Electronic Trading Technology, you will play a pivotal role in designing and optimizing algorithmic trading engines for options instruments. You will collaborate with diverse teams to translate trading strategies into efficient, scalable algorithms. Your contributions will enhance our trading systems, support business objectives, and foster a culture of innovation and inclusion. You will help ensure our technology infrastructure remains robust, reliable, and ready to meet the demands of the market.
Job Responsibilities
- Execute creative software solutions, design, development, and technical troubleshooting to solve complex problems.
- Develop secure, high-quality production code in Java and review code to ensure best practices and performance standards.
- Design and implement algorithmic trading strategies to optimize execution and performance in a low-touch trading environment.
- Collaborate with product teams to translate trading strategies into scalable algorithms.
- Continuously improve and refactor codebases to enhance performance, implement testing, and ensure reliability.
- Contribute to a team culture of diversity, equity, inclusion, and respect.
- Drive team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes.
- Apply knowledge of tools within the Software Development Life Cycle toolchain to improve the value realized by automation.
- Implement systems for order management, trade execution, market data processing, and risk management.
- Apply automation and continuous delivery methods to streamline development processes.
- Ensure operational stability and reliability of trading systems.
Required Qualifications, Capabilities, and Skills
- Formal training or certification in software engineering concepts and advanced proficiency in Java.
- Hands‑on experience in system design, application development, testing, and operational stability.
- Advanced skills in one or more programming languages.
- Proficiency in automation and continuous delivery methods.
- Expertise in all aspects of the Software Development Life Cycle.
- Experience with algorithmic trading systems and familiarity with trading protocols such as FIX.
- Practical experience with performance optimization and low-touch system design.
- Demonstrated experience leading effective use of approved AI-assisted software development tools.
- Strong understanding of responsible AI use in engineering workflows.
- Strong understanding of data structures, algorithms, and multithreading in Java.
- Familiarity with financial markets and trading concepts, especially equities and options.
Preferred Qualifications, Capabilities, and Skills
- Experience designing and implementing high-performance, low-touch trading systems.
- Ability to troubleshoot complex software issues and optimize application performance.
- Experience with messaging systems such as AMPS or Kafka for real-time data streaming and processing.
- Experience with Cucumber for behavior-driven development and testing in Java environments.
- Experience with automation tools and scripting languages for testing and reporting.
- Familiarity with financial data feeds and market data integration.
- Proficiency in Linux operating systems, including scripting and administration tasks.
- Familiarity with monitoring and logging tools such as Grafana or Splunk for system health monitoring.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law.
Lead Software Engineering - Java -ETT – Options Algorithmic Trading employer: J.P. Morgan
At JPMorgan Chase, we pride ourselves on being an exceptional employer, offering a vibrant work culture that fosters creativity, collaboration, and continuous learning. As a Lead Software Engineer in our Options Algorithmic Trading team, you'll have access to unparalleled growth opportunities, cutting-edge technology, and a commitment to diversity and inclusion, all while working in a dynamic environment that encourages innovation and excellence.
