Lead Software Engineer: Real-Time Data + AI (Python/KDB)

JPMorgan Chase & Co.

Singapore

On-site

SGD 140,000 - 210,000

Full time

5 days ago
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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

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

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