As one of the world's leading asset managers, our mission is to help our clients achieve their investment goals. To best serve our clients' diverse and evolving needs, we have built our business to be global, broad and deep across asset classes, geographies and solutions.
Goldman Sachs Asset & Wealth Management is one of the world's leading asset management institutions. AWM delivers innovative investment solutions managing close to Two Trillion US Dollars on a global, multi-product platform. In addition to traditional products (e.g. Equities, Fixed Income) 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. AM Data Engineering builds on top of cutting edge in-house and cloud platforms complimented with a strong focus on leveraging open source solutions.
BASIC QUALIFICATIONS
- Bachelor’s degree or relevant work experience in Computer Science, Mathematics, or related technical discipline.
- Excellent object oriented or functional analysis and design skills.
- Knowledge of data structures, algorithms, and designing for performance.
- Excellent written and verbal communication skills.
- Ability to solve problems and apply analysis to make data driven decisions.
- Comfortable multi-tasking, managing multiple stakeholders and working as part of a global team.
- Can apply an entrepreneurial approach and passion to problem solving and product development.
- 3+ years of software development experience.
Expert Knowledge in One Or More Of
- Programming in a complied language such as Java, or C++ or an interpreted language such as Python and experience with concurrency and memory management.
- Experience in build APIs with REST/SOAP and Graph QL.
- NoSQL databases such as Mongo DB and/or Elastic Search.
- Dev Sec Ops processes in design and implementation.
- SDLC processes.
- Design patterns in Java.
- Designing and developing applications using Kafka producer/consumer/connector and stream APIs.
Preferred Qualifications
- Knowledge or interest in Asset Management technologies in the front-office or middle office of a trading organization.
- B.S. or M.S. Computer Science or Related field.
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