Asset & Wealth Management - London - Analyst - Software Engineering

Job Summary

Client Service Engineering is part of Goldman Sachs Asset Management; we are responsible for providing the technology that powers our award-winning client service organization. We operate as a full-stack team, and engineers contribute code in multiple languages on a variety of applications.

You will be part of our Investor Data team, which specializes in managing customer data and providing API’s for other teams to consume. You will work with groundbreaking technologies and apply large-scale computing, distributed systems, data pipelining, workflow orchestration, restful APIs, and statistical algorithm techniques to solve difficult problems. Our stack covers both AWS and on-prem deployments and is written in a variety of languages including Java (Spring), Scala, Python, AWS Lambdas. To be successful, you will need to keep our long-term objectives in mind while delivering short-term features for our consumers. You should be comfortable with ambiguity and be open to identifying alternative paths. You will be as happy getting into code-level details as you are with coming up with a long-term technical vision and architecture for our applications.

Goldman Sachs Asset Management Division

Goldman Sachs Asset Management is one of the world’s leading asset management institutions. GSAM delivers innovative investment solutions, managing almost $3 trillion of our clients’ assets on a global, multi-product platform. In addition to traditional products (e.g. equities, fixed income, money market) our product offering also includes Hedge Funds, Private Equity, Fund of Funds, Quantitative Strategies, Fundamental Equity and a Multi-Asset Pension Solutions Business.

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.

Basic qualifications

• Master’s or bachelor’s degree in computer science, or related numerical/engineering field.
• 1+ years professional experience in data processing and/or Data Mesh architectures.
• Strong, self-motivated individual with analytical mindset who can multi-task to solve interesting and difficult technical problems under time pressure and resource constraints.
• Adaptability and willingness to learn; open to contributing across the stack.

 Preferred qualifications

• Experience with Java development and other programming languages; experience in Object Oriented analysis, design and testing best practices.
• Knowledge of SQL and no-sql databases (e.g. Mongo, Elastic).
• Interest of working with cloud; AWS, GCP, etc.
• Excellent written and verbal communication skills, including experience working directly with both technical and non-technical stakeholders.