Wealth Management

7 days ago

Birmingham, United Kingdom Goldman Sachs Full time

What We Do 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.
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.
Wealth Management Goldman Sachs Wealth Management (PWM) specializes in creating comprehensive wealth management plans for high net worth individuals and families, as well as select institutions, including foundations and endowments.
PWM Teams work one-on-one with clients to advise and deliver customized strategies drawn from our deep investment experience, diverse wealth management capabilities and global reach.
Our Private Wealth Advisors (PWAs) deliver an unparalleled investment platform inclusive of the full product and service offerings of Goldman Sachs and beyond, which may include tax and estate planning, philanthropic planning and private banking and lending services.
HOW YOU WILL FULFILL YOUR POTENTIAL The wealth client onboarding team is responsible for delivering the next-gen data platform and services and help us scale to ever increasing needs of the business.
We are looking for strong Java developers with good understanding of backend design concepts to join our team to help in this strategic build out.
Our team of engineers build solutions to the most complex problems and have the opportunity to work at the forefront of technology innovation alongside industry leaders and make significant contributions to the field.
Software is engineered in a fast-paced, dynamic environment, adapting to market and customer needs to deliver robust solutions in an ever-changing business environment.
Wealth Technology builds on top of cutting edge in-house platforms complimented with a strong focus on leveraging open source solutions.
Engineer tools and services that bring unification and scale to Wealth Management division, providing data solutions that span Sales, Client Servicing, Research, Portfolio Management and Trading.
You will work across a variety of systems & programming languages to create a high-performance platform to store and distribute client data across dozens of different platforms.
The data will be stored and transported securely while still able to be queried efficiently.
Technologies used include: Data Technologies: Kafka, Spark, Debezium, GraphQL Programming Languages: Java, Scripting Database Technologies: MongoDB, ElasticSearch, MemSQL, Sybase IQ / ASE Micro Service Technologies: REST, Spring Boot, Jersey Build and CI/CD Technologies: Gradle, Gitlab Automation Technologies: Experience automating deployment processes is a plus Cloud Technologies: Experience with Kubernetes is a plus HOW YOU WILL FULFILL YOUR POTENTIAL Modelling and codification of data pipelines and querying Building frameworks for compute and enrichment of data entities and its distribution using existing data platform components.
Enhancement to existing systems and modernization using new platform.
Build tools to automate testing (integration, stress, and performance) as well as deployment automation.
Collaboration with teams across global counterparts.
Design, Develop, Test and Deploy your software using CI/CD pipeline.
Introduce productivity and efficiency improvement techniques by leveraging right tech stack.
Participate in code review and collaborate in experimenting new tech stacks.
SKILLS AND EXPERIENCE WE ARE LOOKING FOR Computer Science, Mathematics, Engineering or other related degree at bachelors level Java, Scripting, REST, Spring Boot, Jersey Familiarity with Gradle and Gitlab pipeline automation Familiarity with performance testing frameworks such as JMeter Kafka, MongoDB, ElasticSearch, MemSQL, Sybase IQ / ASE 5+ years of hands-on experience on relevant technologies #J-18808-Ljbffr

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