Lead Data Platform Engineer — Real-Time AI for Markets

Next Frontier Capital

Greater London

On-site

GBP 120,000 - 180,000

Full time

14 days+

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Job summary

JPMorgan Chase is seeking a Lead Software Engineer in its Electronic Trading Technology division. You will design and deliver high-performance, scalable solutions powering real-time trading and research in a fast-paced financial environment.

Expertise in Python, KDB, or C++, with AI experience to drive data engineering, analytics, and automation, is essential. You will lead global teams, mentor engineers, and shape SDLC processes while collaborating with research and trading units worldwide to

Qualifications

5+ years of software engineering in large-scale, fast-paced financial environments.
Experience delivering system design, development, testing, and operational stability for analytics teams.
Strong expertise in Python, KDB, or C++ for real-time data processing and data engineering.
Working knowledge of AI technologies to support analytics and SDLC automation.
Proficiency with automation and CI/CD; solid Agile practices and security awareness.

Responsibilities

Lead technical initiatives across global analytics teams and mentor engineers, contractors, and vendors.
Design, build, and optimize real-time data pipelines and analytics applications for mission-critical systems.
Leverage AI to enhance data workflows, automate SDLC processes, and deliver advanced analytics for trading and research.
Collaborate with research and trading teams to onboard datasets efficiently and consistently.
Develop robust tools and libraries for quantitative research and production trading, including scalable APIs.
Guide SDLC, testing, and coding standards across distributed teams and drive continuous improvement.