Lead KDB+ Engineer - Equities Prime Finance Tech

JPMorganChase

Hong Kong

On-site

HKD 900,000 - 1,500,000

Full time

14 days+
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Job summary

J.P. Morgan is seeking a Lead Software Engineer for Prime Finance Services in Hong Kong. You will architect and deliver cutting-edge, market-leading technology for the equity finance platform, collaborating with technologists across hubs to push the boundaries of financial technology.

You will drive real-time, low-latency trading applications using KDB+/q, Kafka, AMPS, and robust SDLC practices, while mentoring teams and shaping technical strategy in a global environment.

Qualifications

  • 5+ years of experience developing KDB+/q applications in financial services, equities domain.
  • Formal training or certification in software engineering concepts.
  • Proficiency in data structures and performance tuning.
  • Proficiency in testing and debugging low latency applications.
  • Hands-on SDLC experience and operation stability delivery.
  • Proficiency across the Software Development Life Cycle; Agile CI/CD, security.

Responsibilities

  • Executes creative software solutions with ability to tackle novel problems.
  • Spearhead design and development of real-time trading platform using KDB+/q.
  • Tackle large-scale engineering challenges with Kafka and AMPS.
  • Collaborate with stakeholders to deliver business-driving solutions.
  • Foster culture of creativity, inclusion, and technical excellence.
  • Work in a large team to achieve organizational goals.

Skills

KDB+/q
Data structures
Low latency
SDLC
Agile CI/CD
Security
Team collaboration

Education

Formal training or certification in software engineering

Tools

Kafka
AMPS
FIX protocol
React JS

Job description

J.P. Morgan is seeking a Lead Software Engineer for Prime Finance Services in Hong Kong. You will architect and deliver cutting-edge, market-leading technology for the equity finance platform, collaborating with technologists across hubs to push the boundaries of financial technology.

You will drive real-time, low-latency trading applications using KDB+/q, Kafka, AMPS, and robust SDLC practices, while mentoring teams and shaping technical strategy in a global environment.

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