Goldman Sachs' Client Onboarding Technology is a key engineering group devoted to building critical tools to onboard new Goldman Sachs clients with a focus on efficiency, control, and excellent client service. This involves projects requiring document and data digitization through various NLP techniques where engineers work in close partnership with our R&D teams to develop new machine learning methodologies, setting the stage for STP and full automation of various workflows and processes.
Requirements
- Proficiency with modern coding languages such as Java, C++, Python.
- Knowledge of SQL and NoSQL databases such as PostgreSQL, MongoDb.
- Experience with cloud technologies, preferably AWS.
- Knowledge or interest in trading technologies in the front-office of a trading organization.
Responsibilities
- building massively scalable software and systems
- architect low latency infrastructure solutions
- proactively guard against cyber threats
- leverage machine learning alongside financial engineering to continuously turn data into action
- build strategic platforms for onboarding clients through proactive management of the firm's front-to-back onboarding process
- projects requiring document and data digitization through various NLP techniques
- develop new machine learning methodologies
Other
- Advanced degree in Computer Science or similar technical field.
- Proficiency with MS Office (Excel, PowerPoint, Word, Outlook).
- Highly organized with exceptional attention to detail and follow-through.
- Strong ability to manage multiple projects with competing deadlines.
- Team player with positive attitude and strong work ethic.
- Strong communication skills (written and verbal).
- Ability to work in a fast-paced environment.
- Ability to adapt quickly to a variety of industries and businesses.
- Ability to self-direct, analyze, evaluate, and form independent judgments.
- Ability to effectively interact and build relationships with senior management and global stakeholders.
- Commercially savvy with ability to exercise discretion with respect to highly confidential/sensitive information.
- Integrity, ethical standards, and sound judgment.
- Prior experience in Finance / FinTech industry.
