Senior Python Quant Developer — Trading Tech & Markets

Testing Site - JPMC

Singapore

On-site

SGD 120,000 - 180,000

Full time

14 days+

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Job summary

JPMorganChase in Singapore is seeking a Software Engineer within the Equities Technology - Prime Services team. You will be a core technical contributor, responsible for developing, deploying, and maintaining features that support trusted market-leading technology products in a secure, stable, and scalable manner.

As part of an agile team, you will collaborate with Traders and Quant Researchers to deliver solutions, own features from requirements to production, and contribute to the operational

Qualifications

  • Formal training or certification in software engineering concepts with 5+ years of 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.

Responsibilities

  • Write high-quality Python code for deploying features to the Quantitative Optimization Framework.
  • Collaborate with Traders and Quant researchers to improve trading and execution workflows.
  • Take ownership of features from requirements through production.
  • Develop secure production code and review others' code.

Skills

Python
Software engineering
Capital markets knowledge
Analytical thinking
Agile

Education

Bachelor's Degree in Computer Science or equivalent

Tools

KDB/Q
FIX
Kafka

Job description

JPMorganChase in Singapore is seeking a Software Engineer within the Equities Technology - Prime Services team. You will be a core technical contributor, responsible for developing, deploying, and maintaining features that support trusted market-leading technology products in a secure, stable, and scalable manner.

As part of an agile team, you will collaborate with Traders and Quant Researchers to deliver solutions, own features from requirements to production, and contribute to the operational

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