Associate Software Engineer – Metrics & Risk Platforms

Goldman Sachs Bank AG

Singapore

On-site

SGD 120,000 - 180,000

Full time

10 days ago

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Job summary

Goldman Sachs Bank AG in Singapore seeks an Associate Software Engineer to focus on hands-on development for high-performance risk workflows and metric engines. You will collaborate with team members and stakeholders to scale and maintain systems that generate critical risk metrics and support daily liquidity and risk management.

The role requires strong Java, Spring Boot, Python skills, plus cloud experience (AWS) and a solid SDLC mindset.

Qualifications

  • Min. 4 years of hands-on software development experience building enterprise-scale systems.
  • Strong backend expertise with Java, Spring Boot, and Python.
  • Experience with CI/CD, automated testing, and code reviews.
  • Hands-on cloud experience, preferably AWS, for high-availability patterns.
  • Experience with AI-enabled tools or platforms.
  • Analytical, debugging, and problem-solving skills.
  • Good communication and collaboration with technical and non-technical stakeholders.
  • Bachelor’s degree in computer science, engineering, or equivalent.

Responsibilities

  • Build scalable metrics engines and optimize data/calculation processes.
  • Engineer complex risk workflows for evaluating market scenarios and risk.
  • Contribute to AI-driven, cloud-first architecture for resiliency and scalability.
  • Write clean, production-grade code and uplift platforms.
  • Follow SDLC practices, implement tests, and participate in code reviews.
  • Collaborate with quantitative engineers, tech leaders, and product managers.

Skills

Java
Spring Boot
Python
CI/CD
Automated testing
Code reviews
AWS
AI-enabled tools
Analytical", "problem-solving" skills
Communication skills

Education

Bachelor's degree in computer science or engineering

Tools

AWS

Job description

Goldman Sachs Bank AG in Singapore seeks an Associate Software Engineer to focus on hands-on development for high-performance risk workflows and metric engines. You will collaborate with team members and stakeholders to scale and maintain systems that generate critical risk metrics and support daily liquidity and risk management.

The role requires strong Java, Spring Boot, Python skills, plus cloud experience (AWS) and a solid SDLC mindset.

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