Core Engineering, Risk, Metrics & Analytics Platform, Associate

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 seeking a highly skilled

Associate Software Engineer to join our dynamic team in Singapore. In this role, you will focus on hands-on development, collaborating closely with team members and stakeholders to develop, scale, and maintain the systems driving our risk metrics and workflows.

• Build Scalable Metrics Engines:Develop and optimize high-throughput, reliable data and calculation processes that generate timely and accurate lending metrics to actively manage and mitigate the firm’s risk exposures.
• Build Complex Risk Workflows:Engineer highly performant, resilient, and scalable systems that empower risk managers to seamlessly evaluate market scenarios, counter parties, assign credit ratings, and define risk appetites.
• 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.
• 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.

• Min. 4 yearsof hands-on software development experience building and scaling enterprise-level, business-critical systems.
• Strong hands-on experience with backend technologies such as Java, Spring Boot, Python.
• Strong experience working with modern, scalable SDLC practices (CI/CD, automated testing, code reviews).
• Hands-on experience with cloud technologies, preferably AWS, and building high-availability patterns.
• Experience implementing or integrating AI-enabled tools, platforms, or automated solutions.
• Exceptional analytical, debugging, and problem-solving skills.
• A strong appetite and openness to dive into proprietary systems, understand their inner workings, and strategically uplift them.
• Strong communication and interpersonal skills, with the ability to collaborate effectively with technical and non-technical stakeholders.
• Bachelor’s degree in computer science, Engineering, or equivalent practical experience.

• Prior experience in the financial services industry, with deep domain knowledge in Risk, or Risk Engineering systems.

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…