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Surveillance Models Engineer Analyst

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Deadline: 02/09/2026

Skills for this role

Skills we detected for this role.

  • JavaScript
  • TypeScript
  • Java
  • React
  • Express
  • GraphQL
  • Git
  • Kubernetes
  • UI/UX Design
  • Apache Kafka
  • Regulatory Compliance

Opportunity brief

Goldman Sachs is hiring for the role of Surveillance Models Engineer Analyst!

Responsibilities of the Candidate:

  • partner globally with sponsors, users and engineering colleagues across multiple divisions to create end-to-end solutions,
  • learn from experts
  • leverage various technologies depending on the team, including Java, JavaScript, TypeScript, React, APIs, GraphQL, Elastic Search, Kafka, Kubernetes
  • be able to innovate and incubate new ideas
  • have an opportunity to work on a broad range of problems, often dealing with large data sets, including real-time processing, messaging, workflow and UI/UX
  • be involved in the full life cycle; defining, designing, implementing, testing, deploying, and maintaining software across our products.
  • Effectively use AI‑assisted software development tools (e.g., GitHub Copilot, Devin, Claude Code, or equivalent) to improve developer productivity and reduce development cycle time.
  • Apply AI tools to accelerate:
  • code generation and refactoring,
  • test creation and coverage improvement,
  • debugging, root‑cause analysis, and performance optimization.
  • Use AI‑assisted reasoning to understand complex codebases, rapidly prototype solutions, and improve code quality while maintaining strong engineering standards.
  • Partner with peers and reviewers to validate, harden, and productionize AI‑generated outputs, ensuring correctness, security, maintainability, and regulatory compliance.
  • Identify opportunities where AI tooling can reduce manual effort, minimize rework, and support faster, higher‑quality delivery to production.

Requirements:

  • A Bachelor's or Master's degree in Computer Science, Computer Engineering, or a similar field of study.
  • 1+ years of professional software development experience
  • Expertise in Java development.
  • Experience in automated testing and SDLC concepts.
  • The ability (and tenacity) to clearly express ideas and arguments in meetings and on paper.
  • Experience with:
  • UI/UX development
  • API design, such as to create interconnected services
  • message buses or real-time processing
  • relational databases
  • Knowledge of the financial industry and compliance or risk functions
  • influencing and collaborating with stakeholders.

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