The Core Engineering- Associate- BLR/HYD

Posted Yesterday
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Bengaluru, Bengaluru Urban, Karnataka, IND
In-Office
Mid level
Fintech • Financial Services
The Role
Develop and maintain high-performance, scalable risk metrics engines and workflows. Write production-grade backend code, implement cloud-first architectures (AWS), integrate AI-enabled tools, follow CI/CD and testing best practices, and collaborate with quantitative engineers and product managers to support firm-wide risk, liquidity, and trading analytics.
Summary Generated by Built In

Metrics & Analytics Platform - Portfolio Risk Platforms - Associate


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. 


Job Description

The Portfolio Risk Metrics & Analytics 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.

Skills Required

  • 4+ years of hands-on software development building and scaling enterprise-level systems
  • Hands-on experience with backend technologies such as Java, Spring Boot, Python
  • Experience 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
  • Willingness to dive into proprietary systems and lead strategic uplift
  • Strong communication and interpersonal skills for cross-functional collaboration
  • Bachelor's degree in Computer Science, Engineering, or equivalent practical experience
  • Prior financial services or risk engineering domain experience

Goldman Sachs Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Goldman Sachs and has not been reviewed or approved by Goldman Sachs.

  • Healthcare Strength Coverage includes medical, dental, vision, disability, life and accident insurance, with multiple plan options and most premiums subsidized; coverage often starts on day one. Wellness resources, on-site health centers in some locations, and EAP access reinforce the depth of health support.
  • Parental & Family Support Family care includes on-site childcare in some offices, expectant parent resources, and transitional programs for returning parents. Feedback suggests parental leave is very generous, with reports of around 20 weeks paid leave and stipends for adoption, surrogacy, and fertility-related services.
  • Retirement Support The firm provides a 401(k) plan with employer matching contributions and broad financial education to help employees plan for retirement. Resources also support saving for education and preparing for unexpected events.

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The Company
HQ: New York, NY
67,118 Employees

What We Do

At Goldman Sachs, we believe progress is everyone’s business. That’s why we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, Goldman Sachs is a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices in all major financial centers around the world. More about our company can be found at www.goldmansachs.com

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