Asset & Wealth Management - PWM Portfolio Accounting & Tax - Analyst - Bengaluru
Bengaluru, Karnataka, India
Goldman Sachs
The Goldman Sachs Group, Inc. is a leading global investment banking, securities, and asset and wealth management firm that provides a wide range of financial services.Who We Are
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.
How will you fulfill your potential
- Work with a global team of highly motivated platform engineers and software developers building integrated architectures for secure, scalable infrastructure services serving a diverse set of use cases.
- Partner with colleagues from across technology and risk to ensure an outstanding platform is delivered.
- Help to provide frictionless integration with the firm’s runtime, deployment and SDLC technologies.
- Collaborate on feature design and problem solving.
- Help to ensure reliability, define, measure, and meet service level objectives.
- Quality coding & integration, testing, release, and demise of software products supporting AWM functions.
- Engage in quality assurance and production troubleshooting.
- Help to communicate and promote best practices for software engineering across the Wealth Management tech stack.
Basic Qualifications
- A strong grounding in software engineering concepts and implementation of architecture design patterns.
- A good understanding of multiple aspects of software development in microservices architecture, full stack development experience, Identity / access management and technology risk.
- Sound SDLC and practices and tooling experience - version control, CI/CD and configuration management tools.
- Ability to communicate technical concepts effectively, both written and orally, as well as interpersonal skills required to collaborate effectively with colleagues across diverse technology teams.
- Experience meeting demands for high availability and scalable system requirements.
- Ability to reason about performance, security, and process interactions in complex distributed systems.
- Ability to understand and effectively debug both new and existing software.
- Experience with metrics and monitoring tooling, including the ability to use metrics to rationally derive system health and availability information.
- Experience in auditing and supporting software based on sound SRE principles.
Preferred Qualifications
- 1-3 Experience using and/or supporting Java based frameworks & SQL / NOSQL data stores.
- Experience with deploying software to containerized environments - Kubernetes/Docker.
- Scripting skills using Python, Shell or bash.
- Experience with Terraform or similar infrastructure-as-code platforms.
- Experience building services using public cloud providers such as AWS, Azure or GCP.
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., 2025. All rights reserved.
Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture AWS Azure Banking CI/CD Distributed Systems Docker Engineering Finance GCP Java Kubernetes Machine Learning Microservices NoSQL Python SDLC Security SQL Terraform Testing
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