Address About this role
Business Overview:
Data Strategy & Solutions team is a Global Research & Data team within BlackRock Portfolio Management Group (PMG) focused on developing AI powered products and generating actionable insights using alternative, primary and big data. We are seeking an experienced Data Scientist, with experience in Large Language Models, Natural Language Processing, (NLP), and Transformer Models, to spearhead the build-out of AI powered capabilities within Investment Research, Product Strategy, and Process Optimization.
There are four groups within Data Strategy & Solutions - Investment AI, Insights & Data Products, Solutions, and Platform. All these groups work towards various aspects of Alpha Generation using Alternative data for a host of portfolio management functions.
As a member of Investment AI, you will be working with Investment Researchers, and Portfolio Managers to build capabilities that enable alpha generation and streamlining research processes using Generative AI and Natural Language understanding techniques.
Job Purpose/Background:
Data Strategy & Solutions is looking for a dynamic individual to join their Investment AI team. The primary job responsibilities include research and development of language models including large language models to capture and extract unstructured data from varied sources & reports and build out of quantitative/ML based components for generating alpha.
As a Data Engineer in the Investment AI team you will: -
- Work alongside Data Scientists, Investors, and other Data Engineers in partner teams to design and build scalable, automated platforms for rapid experimentation and build-out of Generative AI applications.
- Scope out and productionize infrastructure and tooling to support scalable cloud-based applications
Specific Responsibilities:
- Ensuring the required data is available for product development, testing, rapid experimentation
- Experience in integrating data from varied sources both on-prem and cloud
- Understanding of on-prem data landscape as well as external unstructured data
- Develop, deploy, and maintain optimized and automated data pipelines at scale
- Working as part of a multi-disciplinary squad to establish our next generation of data pipelines and tools for large structured and unstructured data
- Be involved from inception of projects, understanding requirements, designing & developing solutions, and incorporating them into the designs of our platforms
- Mentor team members on technology and best practices
- Build and maintain strong relationships between Investments and Platform teams
- Contribute to the open source community and be a student of technology, data & cloud concepts
- Assist in troubleshooting issues, support the operation of production software
- Write comprehensive technical documentation, design plans, and user flows to support PoC, MVPs, and Products
- Communicate with partner teams and stakeholders on project progress and potential bottlenecks
Desirable Skills
- Passion for engineering data centric performant systems
- Experience with Cloud Native platforms
- Experience working in a multi-disciplinary environment
- Working knowledge of building and deploying distributed systems and scaling algorithms for ETL on structured and unstructured data
- Experience with building data pipelines in Python
- Good understanding/experience with languages such as Python/Go/Scala
- Experience in building resilient data pipelines on large amounts of unstructured data.
- Experience in messaging and streaming platforms such as NATS or Kafka is a plus
- Experience in networking, coordination and service discovery
- Curiosity to design, evaluate and implement data architecture for AI applications
- 2+ years of hands-on experience in Data Engineering or related Engineering practices.
Our benefits
To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.
Our hybrid work model
BlackRock's hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. 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. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person - aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.
About BlackRock
At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children's educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.
This mission would not be possible without our smartest investment - the one we make in our employees. It's why we're dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.
For additional information on BlackRock, please visit @blackrock (http://careers.blackrock.com/) | Twitter: @blackrock (https://twitter.com/blackrock) | LinkedIn: www.linkedin.com/company/blackrock
BlackRock is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to age, disability, family status, gender identity, race, religion, sex, sexual orientation and other protected attributes at law.
