Asset & Wealth Management-Analyst-AI Quantitative Engineering
| Company | Goldman Sachs |
|---|---|
| Location | Salt Lake City, UT, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | PhD |
| Experience Level | Mid Level, Senior |
Requirements
- PhD or equivalent experience in a quantitative field such as Computer Science, Mathematics, Statistics, or a related field.
- Demonstrated experience in ML, quantitative finance, and statistics.
- Proficient in ML frameworks such as TensorFlow, Keras, and PyTorch.
- Strong proficiency in Python programming.
- Proven ability to develop and scale AI solutions in a business environment.
- Excellent problem-solving skills and the ability to work independently as well as collaboratively.
Responsibilities
- Collaborate with various business units to identify challenges that can be addressed through AI and ML solutions.
- Develop and implement AI models, with a focus on time series analysis, and enhancing productivity and efficiency using generative AI technologies.
- Scale AI solutions to division-wide applications, ensuring they meet the needs of the business.
- Stay up-to-date with the latest developments in AI, ML, and related fields to continuously improve the division’s AI capabilities.
- Lead projects from conception to completion, including planning, research, development, and implementation.
Preferred Qualifications
- Experience in AI applications within the finance sector.
- A track record of innovation and creative problem solving in AI.