Quantitative Engineering – Analyst / Associate – Bengaluru
Location
Bengaluru, India
The Core Engineering builds and operates the platforms, applications, data solutions, models, and analytics that power critical processes for The Core divisions of the firm (e.g., Risk, responsible for the risk profile of firm activities; Controllers, responsible for the financial control and reporting obligations; Compliance, responsible for the firm’s compliance, regulatory, and reputational risks; Corporate Treasury, responsible for the firm’s liquidity, funding, balance sheet, etc.; and Human Capital Management, responsible for attracting, developing, and managing a global workforce). 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. The Core Engineering’s 2,000+ engineers and strats deliver engineering, data, analytics, and quantitative capabilities within six business units:
- Metrics & Analytics Platforms: responsible for the measurement and management of the firm’s risk, capital, and liquidity for The Core functions
- The Core Strats: responsible for the development and implementation of models and other quantitative methodologies, including the accuracy and attribution of modeled metrics
- Financials & Reporting: responsible for facilitating the production of the firm’s financials and a wide range of reporting functions
- Non-Financial Risk & Controls: responsible for non-financial risk and control processes
- Enterprise Platforms: responsible for platforms and applications that support critical operational processes across The Core such as payments, people processes, and procurement
- Shared Services: responsible for driving the adoption of consistent engineering strategy, including data platforms, cloud, and AI enablement, as well as the management of technology risk
Job Responsibilities
- Design, implement, and maintain quantitative models, tools, and interest rate risk frameworks aligned to IRRBB best practices.
- Build robust analytics for sensitivity, stress, and scenarios analysis across portfolios and entities.
- Produce and enhance methodologies for interest rate risk metrics, partner closely with stakeholders across teams.
- Develop and uplift models to reflect evolving business needs, maintain model documentation and implementation, support regulatory inquiries and second-line validation.
- Deliver clear presentations, reports, and explain related to projects for discussion with managers and team.
Qualifications
At Goldman Sachs, we think who you are makes you better at what you do. We seek out people with excellent quantitative and communication skills. Here are some of the qualities we look for:
- Excellent academic background in a quantitative field such as mathematics, physics, statistics, engineering, or computer science, with a preference for Masters and PhDs.
- Strong programming skills in an object oriented or functional paradigm such as C++, Java or Python.
- Excellent written, verbal, and team-oriented communication skills.
- Experience in quantitative finance role, building risk system and use of AI-based tools in development is a plus.
- A self-starter, should have ability to work independently as well as thrive in a team environment.
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.
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Healthcare Strength — Healthcare is described as offering multiple plan options with subsidized premiums and prescription coverage. Materials indicate there are no pre-existing condition limitations in the U.S. summary.
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Retirement Support — Retirement benefits are considered competitive, including employer 401(k) matching and access to financial education and planning resources. These features position long-term savings as a core component of the package.
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Parental & Family Support — Family-support programs include paid parenting leave, family-care leave, and resources such as childcare support and lactation rooms in some offices. These offerings signal emphasis on supporting caregivers alongside work.
Goldman Sachs Insights
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







