Lead Software Engineer – Data Engineering, Python/KDB

JPMorgan Chase & Co.; Singapore; On-site; SGD 140,000 - 210,000; Full time

Job summary

JPMorgan Chase & Co. is seeking a Lead Software Engineer for its Electronic Trading Technology group in Singapore. You will design and deliver high-performance, scalable real-time data processing pipelines and applications that power trading and research.

The role requires expertise in Python or KDB, and applying AI to analytics, automation, and SDLC processes. You will mentor distributed teams, drive global initiatives, and influence product design and technical operations to meet a rapidly

Qualifications

• Bachelor’s degree in CS/Engineering/Math or related field.
• 5+ years in software engineering in fast-paced financial environments.
• Experience delivering analytics-driven systems.
• Proficiency in Python or KDB and AI in data engineering/SDLC tooling.

Responsibilities

• Lead global analytics initiatives and guide engineers, contractors, and vendors.
• Design, build, and optimize real-time data processing pipelines and apps.
• Leverage AI to enhance data engineering workflows and SDLC automation.
• Collaborate with research and trading teams to onboard datasets.
• Build tools/frameworks for quantitative research and production trading.
• Mentor team members, manage workload, and improve SDLC and testing standards.
• Influence product design, functionality, and operations for a fast-changing landscape.
• Serve as SME in Python, KDB/Q, data engineering, and AI.

Skills

Python

KDB

AI

CI/CD

Agile

Leadership

Distributed teams

Education

Bachelor's degree in Computer Science/Engineering/Math

Tools

AWS

Terraform

Kubernetes

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 Electronic Trading Technology team, you will play a pivotal role in designing and deliveringhigh-performance, scalable solutionsthat power real-time trading and research in a fast-paced financial environment. We seek candidates with strong expertise inany of Python/KDB, and who can leverage their knowledge ofAIto 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 initiativesacross 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 techniquesto enhance data engineering workflows, automate SDLC processes, and deliver advanced analytics capabilities for trading and research.
• Collaborate with research and trading teams worldwideto onboard new datasets efficiently and consistently, supporting global business needs.
• Build and support robust tools and frameworksfor 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/processesto meet the demands of a rapidly evolving financial landscape.
• Serve as a subject matter expertin Python, KDB/Q, data engineering, and AI, contributing to firmwide best practices and technical excellence.
• Champion diversity, inclusion, and collaborationwithin 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.