Risk Metrics Platform Engineer (Cloud & AI)

Goldman Sachs

Warszawa

On-site

PLN 180,000 - 280,000

Full time

6 days ago

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Job summary

Goldman Sachs is seeking engineers for The Core Engineering group to build and operate platforms, data solutions, models, and analytics powering risk, controls, and corporate functions. The role emphasizes AI-enabled, cloud-first architectures, high-throughput metrics, and resilient risk workflows.

You will contribute to scalable data processes, collaborate with quantitative teams, and deliver production-grade code within modern SDLC practices.

Qualifications

3–5 years of experience in software development
Bachelor’s degree in a STEM field
Programming experience with at least one imperative language (e.g. Java, C/C++, Python, JavaScript)
Exceptional analytical, debugging, and problem-solving skills

Responsibilities

Build Scalable Metrics Engines: develop high-throughput data and calculation processes to generate timely risk metrics.
Implement Next-Generation Architecture: design and execute AI-driven, cloud-first architecture for resilience and scalability.
Build Complex Risk Workflows: engineer systems allowing risk managers to evaluate market scenarios and define risk appetites.
Hands-On Technical Implementation: write production-grade code and resolve challenges using modern languages and frameworks.
Adhere to Engineering Excellence: follow SDLC practices, write robust unit tests, participate in code reviews.
Collaborate Cross-Functionally: partner with quantitative engineers, tech leaders, and product managers to implement architecture.