What are the responsibilities and job description for the Asset & Wealth Management-Salt Lake City-Analyst- AI Quantitative Engineering position at The Goldman Sachs Group?
About Asset & Wealth Management
Bringing together traditional and alternative investments, we provide clients around the world with a dedicated partnership and focus on long-term performance. As the firm's primary investment area, we provide investment and advisory services for some of the world's leading pension plans, sovereign wealth funds, insurance companies, endowments, foundations, financial advisors and individuals, for which we oversee more than $3 trillion in assets under supervision. Working in a culture that values integrity and transparency, you will be part of a diverse team that is passionate about our craft, our clients, and building sustainable success. We are:
- Investors, spanning traditional and alternative markets offering products and services
- Advisors, understanding our clients' priorities and poised to help provide investment advice and strategies that make sense for their portfolios
- Thought Leaders, providing timely insights across macro and secular themes to help inform our clients' investment decisions
- Innovators, using our suite of digital solutions to help our clients address complex challenges and meet their financial goals
Role Summary:
We are seeking a highly skilled and motivated Associate AI Engineer to join our Asset Wealth Management division. The ideal candidate will possess expertise in Machine Learning (ML), quantitative finance, statistics, and large language models. The role involves working horizontally across the division to identify and solve business problems using advanced AI solutions, both in the quantitative and fundamental domains.
Key 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.
Required Qualifications:
- 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.
Preferred Qualifications:
- Experience in AI applications within the finance sector.
- A track record of innovation and creative problem solving in AI.
The Goldman Sachs Group, Inc., 2018. All rights reserved Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Vet.
Salary : $3
