Associate Software Engineer - Risk & Analytics Platforms

Goldman Sachs Services Pvt Ltd; Bengaluru; On-site; INR 1,800,000 - 2,800,000; Full time

Job summary

Goldman Sachs Services Pvt Ltd in Bengaluru seeks an Associate Software Engineer to design, build, and maintain high‑volume risk workflows and calculation engines within the Metrics & Analytics Platforms team. You will contribute to scalable architectures, write production code, and collaborate with quantitative engineers and product managers.

Role focuses on hands‑on development, cloud‑first initiatives, and modern SDLC practices to enable timely risk metrics for global teams.

Qualifications

• 4+ years of hands-on software development experience.
• Backend experience with Java, Spring Boot and Python.
• Experience with modern SDLC practices (CI/CD, automated testing, code reviews).
• Cloud experience, preferably AWS.
• Experience implementing or integrating AI-enabled tools or platforms.
• Analytical, debugging and problem-solving skills.
• Willingness to work with proprietary systems and uplift them.
• Strong communication and collaboration with stakeholders.
• Bachelor’s degree in computer science, engineering, or equivalent.

Responsibilities

• Build Scalable Metrics Engines: develop high-throughput data and calculation processes for risk metrics.
• Build Complex Risk Workflows: engineer systems to evaluate scenarios, assign ratings, and define risk appetites.
• Implement Next-Generation Architecture: contribute to AI-driven, cloud-first architecture for scalability.
• Hands-On Technical Implementation: write production-grade code and perform platform uplifts.
• Adhere to Engineering Excellence: follow SDLC, write unit tests, and participate in code reviews.
• Collaborate Cross-Functionally: partner with quantitative engineers, tech leaders, and product managers.

Skills

Java

Spring Boot

Python

AWS

CI/CD

Automated testing

Code reviews

AI-enabled tools

Debugging

Education

Bachelor's degree in CS/Engineering

Tools

CI/CD tools

Unit testing frameworks

Cloud architecture

Job description

Risk-Bengaluru-Associate-Software Engineering 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.

Job Description 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 Bengaluru. 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

• 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.
• Experience Level Mid Level