Jobs

Asset & Wealth Management - Family Office Engineering - Analyst - Bengaluru
Bengaluru, Karnataka, India
·
On-site
·
Full-time
·
3w ago
Required skills
Java
SQL
AWS
Git
Kafka
Spark
Jira
Machine Learning
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.
Your Impact
- As a member of the team, you will gain satisfaction though adding value and contributing to the team’s initiatives.
- Propose, design, and implement software solutions to enhance our services and enable new business functions.
- Perform hands-on development; participate in architecture and design discussions, design reviews.
- Work closely with other engineering teams across the firm to develop data feeds, APIs, processing pipelines.
- Work closely with the global user group to support and enhance the applications to meet new requirements.
- Understand the business workflows to assist in analysing and converting business requirements into technical specifications.
Basic Qualifications
- Bachelor’s or higher in Computer Science (or equivalent work experience)
- 1+ years of experience in Java & J2EE frameworks.
- Solid understanding of object oriented skills and frameworks.
- Experience with producing scalable software designs.
- Experience in Spring, REST services, JMS, Hibernate/JPA, JSON is required.
- Experience working with SQL based database like Sybase or MemSQL.
- Experience with designing/delivering messaging-based solutions (e.g. Kafka)
- Experience with cloud migration and/or designing and supporting native cloud applications (preferably AWS).
- Experience in working with CI/CD, GIT, Jira methodologies
- Strong sense of ownership, focus on quality, responsiveness, efficiency, and innovation
- Strong communication skills (in person, phone, and email).
- Capable of working with a global team and thriving in a team development environment.
- Advanced problem solving skills and the ability to deal with real world business issues.
Preferred Qualifications
- Experience with Hadoop/Big data/Apache Spark.
- Experience in the financial services industry.
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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About 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+
Employees
Lower Manhattan
Headquarters
$80B
Valuation
Reviews
3.9
10 reviews
Work-life balance
2.3
Compensation
4.2
Culture
3.8
Career
4.5
Management
3.7
72%
Recommend to a friend
Pros
Excellent training and learning programs
Strong career growth and promotion opportunities
Competitive salary and comprehensive benefits
Cons
Poor work-life balance
Long hours and late work expectations
High stress and overwhelming workload
Salary Ranges
20,304 data points
Junior/L3
Mid/L4
Senior/L5
Junior/L3 · Analyst
6,923 reports
$112,993
total per year
Base
$97,759
Stock
-
Bonus
$15,234
$77,583
$166,892
Interview experience
5 interviews
Difficulty
3.0
/ 5
Duration
21-35 weeks
Experience
Positive 0%
Neutral 60%
Negative 40%
Interview process
1
Application Review
2
Phone Screen/HireVue Video Interview
3
Superday/Panel Interview
4
Final Decision
Common questions
Behavioral/STAR
Technical Knowledge
Culture Fit
Past Experience
Case Study
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