The Core Engineering, Risk, Metrics & Analytics Platform, Associate, Singapore

GOLDMAN SACHS SERVICES (SINGAPORE) PTE. LTD.; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

Goldman Sachs Services (Singapore) PTE. LTD. is seeking an Associate Software Engineer within the Metrics & Analytics Platform Engineering team in Singapore.

You will hand‑on develop scalable data engines and risk workflows that power global risk metrics, collaborating with engineers and product managers to deliver high‑quality, resilient systems. The role emphasizes cloud-first architecture, AI-enabled tooling, and adherence to modern SDLC practices, including CI/CD and automated testing, while

Qualifications

• Min. 4 years of 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.
• Experience with modern 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 or automated solutions.
• Exceptional analytical, debugging, and problem‑solving skills.
• Bachelor’s degree in computer science, engineering, or equivalent practical experience.

Responsibilities

• Build scalable metrics engines to generate timely lending metrics and manage risk.
• Develop complex risk workflows for evaluating market scenarios and credit ratings.
• Contribute to next‑generation cloud‑first architecture with AI‑driven design.
• Write production‑grade code and participate in code reviews and testing.
• Collaborate with quantitative engineers, tech leaders, and product managers.

Skills

Java

Spring Boot

Python

CI/CD

Cloud AWS

AI-enabled tools

Analytical thinking

Problem solving

Communication

Education

Bachelor's degree in Computer Science, Engineering, or equivalent practical experience

Job description

About the Role

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.

Responsibilities

• 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, counterparties, 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.

Minimum Qualifications

• Min. 4 years of 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.

Preferred Qualifications

• 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

© The Goldman Sachs Group, Inc., 2026. All rights reserved.

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.