Asset & Wealth Management - AM Client Workflows & Ref Data - Associate - Bengaluru
Posted 13 days ago
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Senior engineering role responsible for designing, managing and supporting onboarding platforms used by asset management clients, with emphasis on availability, resiliency, performance, monitoring and governance. The role includes application SDLC, infrastructure services (proxies, load balancing, cloud integration), risk management and ensuring systems scale for increasing volumes. It also involves managing a regional team of engineers and partnering with product, business and external teams to deliver high-quality technical solutions.
- Compensation
- Not specified
- City
- Bengaluru
- Country
- India
Currency: Not specified
Full Job Description
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.
Who We Look For
Goldman Sachs Engineers are innovators and problem-solvers, building solutions in risk management, big data, mobile and more. We look for creative collaborators who evolve, adapt to change and thrive in a fast-paced global environment.
How You Will Fulfill Your Potential
As the Regional Client Workflow & Reference Data Lead Engineer, you will be responsible for designing, managing and supporting key onboarding platforms leveraged by asset management clients. Responsibilities include advancing these highly available distributed systems, with focuses on availability, resiliency, performance and advanced monitoring with governance controls as well as managing a regional team of engineers and business relationships as local subject matter experts.
- Application SDLC, deployment and runtime management with a goal of reducing product cycle time
- Infrastructure Services – proxies, load balancing, cloud integration
- Risk Management – Resiliency design & planning, collection and analysis of availability metrics
Skills and Experience We Are Looking For
- Master’s or Bachelor's degree in Computer Science or related Engineering Field
- 5+ years combined experience in an Engineering Capacity
- 3+ years of Java development and other programming languages with experience in Object Oriented Analysis, Design and testing best practices
- Knowledge in one or more SQL dialects
- Strong creative leader, self-motivated with analytical mindset who can multi-task to solve interesting and difficult technical problems under time pressure and resource constraints
- Must have a client and product mindset with experience collaborating with product and/or business managers to propose products and their associate features.
- Experience in delivering high quality technical solutions to multiple global stakeholders in a fast paced environment and managing junior developers
- Ensure that teams follow best practices for system design and conformance to high standards for coding, testing, debugging and implementation
- Effectively partner with external teams to ensure we meet our goals for system integration, application deployment, feed management and reporting
- Ensure systems can scale to handle increasing business volumes, optimize performance and throughput. Good understanding of distributed systems
- Experience with all stages of the development lifecycle: inception, analysis, design, review, testing, and deployment
- Experience building and sustaining long-term relationships with clients and colleagues in a diverse global organization
- Excellent written and verbal communication skills, including experience working directly with both technical and non-technical stakeholder
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.
