FAQs
What does the AI Office within BlackRock Global Markets & Index Investments (BGM) focus on?
The AI Office focuses on transforming BGM's businesses through AI by increasing productivity, generating insights for performance, and identifying revenue opportunities.
What are the main responsibilities of the Associate - Artificial Intelligence (AI) role?
The main responsibilities include partnering with in-business teams to design and develop AI models, building quantitative/ML models, creating common tools and platforms, and collaborating with data engineering teams.
What qualifications are required for this role?
Candidates should have 3-5 years of experience in the financial services industry in a data/analytics/research/technology role, a bachelor's degree in a related field, and experience with natural language processing and machine learning.
Is experience with Python required for this role?
Yes, experience with Python and related frameworks/libraries is required.
What type of models will I be working with in this role?
You will be working with large language models (LLMs), natural language processing techniques, and various quantitative/ML models.
Is there an opportunity for career development and training?
Yes, BlackRock offers a wide range of development opportunities, including tuition reimbursement and a supportive learning environment.
What is the hybrid work model at BlackRock?
Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week.
Is there a focus on collaboration in this role?
Yes, the role involves substantial collaboration with various teams across BGM and BlackRock to develop AI capabilities.
Are there any specific analytics tools or technologies mentioned for use in this role?
Yes, experience with analytical tools like Tableau and PowerBI is mentioned, as well as data engineering tools for ETL processes.
What kind of projects will I potentially be involved with?
You will be involved in identifying key AI ideas, incubating Proof of Concepts, and working with businesses to roll out successful pilots to production workflows.