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Software Engineer III, Python Quant Developer- Equities Technology, Prime Services

at J.P. Morgan

Back to all Python jobs
J.P. Morgan logo
Bulge Bracket Investment Banks

Software Engineer III, Python Quant Developer- Equities Technology, Prime Services

at J.P. Morgan

Mid LevelNo visa sponsorshipPython

Posted 13 days ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Singapore
Country
Singapore

Join JPMorgan Chase's Equities Technology - Prime Services as a Software Engineer with a Python focus, collaborating with traders and quants to enhance the Quantitative Optimization Framework and trading workflows. You will own features from requirements through production, develop secure production-grade Python code, and troubleshoot complex problems while driving operational stability. The role also involves leading communities of practice to promote new and leading-edge technologies, with a focus on delivering scalable and secure software solutions in a fast-paced environment. Location is Singapore and requires 5+ years of software engineering experience with strong Python and capital markets knowledge.

Location: Singapore

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Software Engineer at JPMorganChase within the Corporate and Investment Banking (CIB), Equities Technology - Prime Services team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities

  • Write high-quality Python code for deploying features and enhancements to our Quantitative Optimization Framework.
  • Collaborate closely with Traders and Quantitative Researchers to deliver solutions that enhance trading and execution workflows
  • Take ownership of features from requirements through to production.
  • Execute creative software solutions, design, develop, and technical troubleshoot with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
  • Develop secure high-quality production code, and review and debug code written by others
  • Identify opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
  • Lead communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies

 

Required qualifications, capabilities, and skills

  • Formal training or certification on software engineering concepts and 5+ years applied experience
  • Bachelor’s Degree in Computer Science or equivalent
  • Knowledge of Capital Markets and Equity Market Microstructure
  • Knowledge of electronic trading workflows across pre-trade analytics, execution algorithms and post-trade analysis
  • Advanced proficiency in Python
  • Strong analytical, quantitative and problem-solving skills.

Preferred qualifications, capabilities, and skills

  • Hands on experience in Quantitative Trading and/or Market Analysis
  • Familiarity and prior experience on KDB/q will be beneficial
  • Knowledge of FIX, Market Data, Order Management Systems will be a strong plus
  • Prior experience with SecDB / Athena / Quartz platforms is advantageous but not required
  • Data streaming knowledge on frameworks like Kafka, AMPS will be beneficial
Build Python solutions for trading, collaborating with quants and traders to enhance equities technology.

Software Engineer III, Python Quant Developer- Equities Technology, Prime Services

at J.P. Morgan

Back to all Python jobs
J.P. Morgan logo
Bulge Bracket Investment Banks

Software Engineer III, Python Quant Developer- Equities Technology, Prime Services

at J.P. Morgan

Mid LevelNo visa sponsorshipPython

Posted 13 days ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Singapore
Country
Singapore

Join JPMorgan Chase's Equities Technology - Prime Services as a Software Engineer with a Python focus, collaborating with traders and quants to enhance the Quantitative Optimization Framework and trading workflows. You will own features from requirements through production, develop secure production-grade Python code, and troubleshoot complex problems while driving operational stability. The role also involves leading communities of practice to promote new and leading-edge technologies, with a focus on delivering scalable and secure software solutions in a fast-paced environment. Location is Singapore and requires 5+ years of software engineering experience with strong Python and capital markets knowledge.

Location: Singapore

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Software Engineer at JPMorganChase within the Corporate and Investment Banking (CIB), Equities Technology - Prime Services team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities

  • Write high-quality Python code for deploying features and enhancements to our Quantitative Optimization Framework.
  • Collaborate closely with Traders and Quantitative Researchers to deliver solutions that enhance trading and execution workflows
  • Take ownership of features from requirements through to production.
  • Execute creative software solutions, design, develop, and technical troubleshoot with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
  • Develop secure high-quality production code, and review and debug code written by others
  • Identify opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
  • Lead communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies

 

Required qualifications, capabilities, and skills

  • Formal training or certification on software engineering concepts and 5+ years applied experience
  • Bachelor’s Degree in Computer Science or equivalent
  • Knowledge of Capital Markets and Equity Market Microstructure
  • Knowledge of electronic trading workflows across pre-trade analytics, execution algorithms and post-trade analysis
  • Advanced proficiency in Python
  • Strong analytical, quantitative and problem-solving skills.

Preferred qualifications, capabilities, and skills

  • Hands on experience in Quantitative Trading and/or Market Analysis
  • Familiarity and prior experience on KDB/q will be beneficial
  • Knowledge of FIX, Market Data, Order Management Systems will be a strong plus
  • Prior experience with SecDB / Athena / Quartz platforms is advantageous but not required
  • Data streaming knowledge on frameworks like Kafka, AMPS will be beneficial
Build Python solutions for trading, collaborating with quants and traders to enhance equities technology.