The Core Engineering-Software Engineering - Analyst/Associate - Metrics & Analytics Platforms - Counterparty Credit Risk Eng

Goldman Sachs; Warszawa; On-site; PLN 180,000 - 280,000; Full time

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.

Skills

Programming in imperative languages

Analytical problem solving

Cross-functional collaboration

Education

Bachelor’s degree in Computer Science, Engineering, Mathematics, Physics, or related STEM

Tools

AWS Cloud

Job description

The Core Engineering builds and operates the platforms, applications, data solutions, models, and analytics that power critical processes for the firm’s Risk, Controllers, Compliance, Corporate Treasury, Human Capital Management functions (The Core). A centralized engineering structure in support of The Core enables a common platform model and operating framework that promotes consistent governance and scalable solutions, leveraging cloud, AI, and machine learning for innovation and efficiency.

The Metrics & Analytics Platform Engineering team within The Core Engineering designs, engineers, and maintains the high-performance risk workflows and calculation engines that generate critical risk metrics for global risk management teams.

We are looking for passionate engineers with strong programming skills and applied AI experience, who are willing to work with challenging use cases, in a fast-paced environment. We need interdisciplinary engineers who like exploring brand new fields and using various technologies.

Responsibilities

• Build Scalable Metrics Engines: Develop and optimize high-throughput, reliable data and calculation processes that generate timely and accurate metrics to actively manage and mitigate the firm’s risk exposures.
• Implement Next-Generation Architecture: Contribute to the design and execution of our next-generation architecture with an AI-driven, cloud-first mindset—ensuring maximum resiliency, scalability, and alignment with the firm’s long-term strategic growth.
• Build Complex Risk Workflows: Engineer highly performant, resilient, and scalable systems that empower risk managers to seamlessly evaluate market scenarios, counterparties, assign credit ratings, and define risk appetites.
• Hands-On Technical Implementation: Actively write clean, production-grade code, implement complex platform uplifts, and resolve technical challenges using modern programming languages and frameworks.
• Adhere to Engineering Excellence: Follow modern SDLC practices, write robust unit tests, and participate in code reviews to maintain high code quality.
• Collaborate Cross-Functionally: Partner closely with quantitative engineers, technical leaders across the broader engineering organization, and product managers to implement and execute our next-generation architecture.

Minimum Qualifications

• 3-5 years of experience in software development, including a clear understanding of software design and core programming concepts.
• Bachelor’s degree in Computer Science, Engineering, Mathematics, Physics, or other related STEM disciplines.
• Programming experience with at least one imperative language (e.g. Java, C/C++, Python, JavaScript).
• Exceptional analytical, debugging, and problem-solving skills.

Preferred Qualifications

• Hands-on experience with cloud technologies, preferably AWS, and building high-availability patterns.
• Experience implementing or integrating AI-enabled tools, platforms, or automated solutions.
• Prior experience in the financial services industry, with deep domain knowledge in Risk, or Risk Engineering systems.

ABOUT GOLDMAN SACHS

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.

We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers.

We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html

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Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.