招聘

Asset & Wealth Management - AM Core Quant Tech - Associate - Bengaluru
Bengaluru, Karnataka, India
·
On-site
·
Full-time
·
3d ago
What We Do
At Goldman Sachs, we connect people, capital and ideas to help solve problems for our clients. We are a leading global financial services firm providing investment banking, securities and investment management services to a substantial and diversified client base that includes corporations, financial institutions, governments and individuals.
About Asset & Wealth Management
Bringing together traditional and alternative investments, we provide clients around the world with a dedicated partnership and focus on long-term performance. We provide investment and advisory services for some of the world’s leading pension plans, sovereign wealth funds, insurance companies, endowments, foundations, financial advisors and individuals, for which we oversee more than $3 trillion in assets under supervision. Working in a culture that values integrity and transparency, you will be part of a diverse team that is passionate about our craft, our clients, and building sustainable success. We are:
- Investors, spanning traditional and alternative markets offering products and services
- Advisors, understanding our clients’ priorities and poised to help provide investment advice and strategies that make sense for their portfolios
- Thought Leaders, providing timely insights across macro and secular themes to help inform our clients’ investment decisions
- Innovators, using our suite of digital solutions to help our clients address complex challenges and meet their financial goals
The Team
Our mission is to empower portfolio managers and quantitative researchers by delivering a high-performance research and development environment that supports every stage of the investment lifecycle, from factor research to model development, backtesting, and production deployment. As a member of this team, you will design and implement the shared infrastructure, libraries, and tooling that power quant workflows across asset classes. The systems you build will serve as the backbone for scalable innovation, enabling cross-team collaboration, standardization, and faster iteration in a secure, compliant, and cloud-native environment.
Your Impact as a Software Engineer
Within Goldman Sachs Asset Management, software engineers are at the heart of our platform, building scalable systems, designing robust frameworks, and delivering high-quality software that drives our business. Working in close collaboration with quantitative researchers and portfolio managers, software engineers enable critical capabilities across our asset management business. As a member of our engineering team, you will bring strong design and development experience to create modern, resilient, and data-driven systems.
Who We Look for
We are interested in individuals who are passionate about engineering, motivated by solving complex problems, and inspired by building systems that scale. You should be comfortable navigating modern data platforms, cloud technologies, and DevOps practices.
Responsibilities
- Partner with strategists and portfolio managers to deliver tools that enable quantitative research, automation, and operational efficiency
- Implement DevOps best practices including CI/CD, infrastructure as code, observability, and automated testing to ensure reliability and scalability of systems
- Participate in code reviews, design discussions, and technical architecture decisions
- Contribute to the technical direction of engineering projects, ensuring maintainability, security, and performance
Qualifications
- Bachelor’s or advanced degree in Computer Science, Engineering, or a related technical field
- Proficient in at least one programming language, and proven experience in production software development life cycle (SDLC)
- Solid understanding of DevOps principles, including containerization, CI/CD workflows, and infrastructure automation
- Familiarity with data modeling, ETL pipelines, and data governance concepts beneficial
- Excellent communication skills
- A self-starter with the ability to thrive in a fast-paced, global team environment
Goldman Sachs Engineering Culture
At Goldman Sachs, our Engineers don’t just make things – we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets.
Engineering is at the critical center of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions. Want to push the limit of digital possibilities? Start here!
© The Goldman Sachs Group, Inc., 2026. All rights reserved.
Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity.
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关于Goldman Sachs

Goldman Sachs
PublicThe Goldman Sachs Group, Inc. is an American multinational investment bank and financial services company. Founded in 1869, Goldman Sachs is headquartered in the Battery Park City neighborhood of Manhattan in New York City, with regional offices in many international financial centers.
45,000+
员工数
Lower Manhattan
总部位置
$80B
企业估值
评价
3.9
10条评价
工作生活平衡
2.3
薪酬
4.2
企业文化
3.8
职业发展
4.5
管理层
3.7
72%
推荐给朋友
优点
Excellent training and learning programs
Strong career growth and promotion opportunities
Competitive salary and comprehensive benefits
缺点
Poor work-life balance
Long hours and late work expectations
High stress and overwhelming workload
薪资范围
20,304个数据点
Junior/L3
Mid/L4
Senior/L5
Junior/L3 · Analyst
6,923份报告
$112,993
年薪总额
基本工资
$97,759
股票
-
奖金
$15,234
$77,583
$166,892
面试经验
5次面试
难度
3.0
/ 5
时长
21-35周
体验
正面 0%
中性 60%
负面 40%
面试流程
1
Application Review
2
Phone Screen/HireVue Video Interview
3
Superday/Panel Interview
4
Final Decision
常见问题
Behavioral/STAR
Technical Knowledge
Culture Fit
Past Experience
Case Study
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