×
Register Here to Apply for Jobs or Post Jobs. X

Risk, Metrics & Analytics Platform, Counterparty Credit Risk Engineering, Associate Associate

Job in Singapore, Singapore
Listing for: Goldman Sachs Bank AG
Full Time position
Listed on 2026-08-14
Job specializations:
  • Software Development
    Backend Developer
Salary/Wage Range or Industry Benchmark: 120000 - 180000 SGD Yearly SGD 120000.00 180000.00 YEAR
Job Description & How to Apply Below

The Organization

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.

Metrics & Analytics Platforms, within The Core Engineering, is responsible for the measurement and management of the firm’s risk, capital, and liquidity for The Core functions. Within Metrics & Analytics Platforms unit, Liquidity and Trading Platforms team provide critical business services for Corporate Treasury across trading and liquidity execution to support the daily management of global cash and liquidity across all businesses.

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, 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.
Minimum Qualifications
  • 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.
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

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.

#J-18808-Ljbffr
Position Requirements
10+ Years work experience
To View & Apply for jobs on this site that accept applications from your location or country, tap the button below to make a Search.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
 
 
 
Search for further Jobs Here:
(Try combinations for better Results! Or enter less keywords for broader Results)
Location
Increase/decrease your Search Radius (miles)
0
200
Filters
Education Level
Experience Level (years)
Posted in last:
Salary