Lead Software Engineer Data Engineering, Python/KDB
Posted 6
views
Summary
Lead Software Engineer on JPMorganChase's Electronic Trading Technology team in Singapore, designing and optimizing real-time data pipelines, analytics tooling, and scalable APIs for global trading and research, using Python/KDB and applying AI/ML to data engineering and SDLC automation.
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 Electronic Trading Technology team, you will play a pivotal role in designing and delivering high-performance, scalable solutions that power real-time trading and research in a fast-paced financial environment. We seek candidates with strong expertise in any of Python/KDB, and who can leverage their knowledge of AI to drive innovation in data engineering, analytics, and automation. Experience leveraging AI in development, analytics, or SDLC use cases is a critical enabler for this role.
Job responsibilities . Lead technical initiatives across global analytics teams, providing guidance and direction to engineers, contractors, and vendors in a high-velocity environment. . Design, build, and optimize real-time data processing pipelines and applications ensuring reliability and performance for mission-critical financial systems. . Leverage AI technologies and techniques to enhance data engineering workflows, automate SDLC processes, and deliver advanced analytics capabilities for trading and research. . Collaborate with research and trading teams worldwide to onboard new datasets efficiently and consistently, supporting global business needs. . Build and support robust tools and frameworks for quantitative research and production trading, including scalable APIs and analytics libraries. . Mentor and develop team members, manage book of work, and drive continuous improvement in SDLC, testing, and coding standards across distributed teams. . Influence product design, application functionality, and technical operations/processes to meet the demands of a rapidly evolving financial landscape. . Serve as a subject matter expert in Python, KDB/Q, data engineering, and AI, contributing to firmwide best practices and technical excellence. . Champion diversity, inclusion, and collaboration within large, global teams.
Required qualifications, capabilities, and skills . Bachelor's degree in computer science, Engineering, Mathematics, or other related disciplines . 5+ years of applied experience in software engineering, preferably in large-scale, fast-paced financial environments. . Hands-on experience delivering system design, application development, testing, and operational stability for analytics-driven teams. . Strong expertise in any of Python/KDB, for real-time data processing, application development, or data engineering. . Working knowledge of AI technologies (machine learning, generative AI, etc.) to support data engineering, analytics, or SDLC automation. . Proficiency in automation and continuous delivery methods advanced understanding of agile methodologies (CI/CD, Application Resiliency, Security). . Experience leading and mentoring teams in a global, collaborative environment. . Ability to tackle complex design and functionality problems independently and drive solutions across distributed teams. . Academic background in Computer Science, Computer Engineering, Mathematics, or a related technical field.
Preferred qualifications, capabilities, and skills . Experience with market data venue and vendor data platforms. . AWS experience practical cloud native/cloud experience is a plus. . Experience with Terraform and Kubernetes for managing production environments in public cloud. . Strong knowledge and experience in FIX, Market Data, Analytics, OMS, and equities trading in global markets are assets. . Knowledge of machine learning, statistical techniques, and related libraries.
To apply for this position, please use the following URL: https://ars2.equest.com/response_id=c7ed8b8412cff09766894d31051bf2c3
As a Lead Software Engineer at JPMorganChase within the Electronic Trading Technology team, you will play a pivotal role in designing and delivering high-performance, scalable solutions that power real-time trading and research in a fast-paced financial environment. We seek candidates with strong expertise in any of Python/KDB, and who can leverage their knowledge of AI to drive innovation in data engineering, analytics, and automation. Experience leveraging AI in development, analytics, or SDLC use cases is a critical enabler for this role.
Job responsibilities . Lead technical initiatives across global analytics teams, providing guidance and direction to engineers, contractors, and vendors in a high-velocity environment. . Design, build, and optimize real-time data processing pipelines and applications ensuring reliability and performance for mission-critical financial systems. . Leverage AI technologies and techniques to enhance data engineering workflows, automate SDLC processes, and deliver advanced analytics capabilities for trading and research. . Collaborate with research and trading teams worldwide to onboard new datasets efficiently and consistently, supporting global business needs. . Build and support robust tools and frameworks for quantitative research and production trading, including scalable APIs and analytics libraries. . Mentor and develop team members, manage book of work, and drive continuous improvement in SDLC, testing, and coding standards across distributed teams. . Influence product design, application functionality, and technical operations/processes to meet the demands of a rapidly evolving financial landscape. . Serve as a subject matter expert in Python, KDB/Q, data engineering, and AI, contributing to firmwide best practices and technical excellence. . Champion diversity, inclusion, and collaboration within large, global teams.
Required qualifications, capabilities, and skills . Bachelor's degree in computer science, Engineering, Mathematics, or other related disciplines . 5+ years of applied experience in software engineering, preferably in large-scale, fast-paced financial environments. . Hands-on experience delivering system design, application development, testing, and operational stability for analytics-driven teams. . Strong expertise in any of Python/KDB, for real-time data processing, application development, or data engineering. . Working knowledge of AI technologies (machine learning, generative AI, etc.) to support data engineering, analytics, or SDLC automation. . Proficiency in automation and continuous delivery methods advanced understanding of agile methodologies (CI/CD, Application Resiliency, Security). . Experience leading and mentoring teams in a global, collaborative environment. . Ability to tackle complex design and functionality problems independently and drive solutions across distributed teams. . Academic background in Computer Science, Computer Engineering, Mathematics, or a related technical field.
Preferred qualifications, capabilities, and skills . Experience with market data venue and vendor data platforms. . AWS experience practical cloud native/cloud experience is a plus. . Experience with Terraform and Kubernetes for managing production environments in public cloud. . Strong knowledge and experience in FIX, Market Data, Analytics, OMS, and equities trading in global markets are assets. . Knowledge of machine learning, statistical techniques, and related libraries.
To apply for this position, please use the following URL: https://ars2.equest.com/response_id=c7ed8b8412cff09766894d31051bf2c3