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 model to capture and extract unstructured data from varied sources & reports and build out of quantitative / ML based components for generating alpha.
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Familiarity with the following areas is essential :
- Natural language processing solutions on any domain
- Language models like transformers, BERT, LSTM, RNN etc.
- Large language models and underlying transformer / attention architecture
Key Responsibilities :
- Lead the design and development of products and capabilities powered by multimodal generative AI models.
- Conduct research and execute Generative AI and Machine Learning models revolutionizing towards Alpha generation, client experience, and productivity.
- Work with cross-functional teams to understand and scope requirements and implement innovative solutions.
- Lead the technical build and evaluation of Proof of Concepts and MVP towards Production Product.
- Act as an expert on large language models / Natural language processing of large amounts of unstructured data.
- Building estimation approaches for missing data and application of statistical techniques for generating curated analytics using data & model outputs.
- Support internal validation process through benchmarking analysis / research, user engagement, and comprehensive documentation of models.
Additional responsibilities include working on techniques for synthetic data generation, accuracy, etc.
Skills & Qualifications :
- Master’s level education with a focus on statistics, mathematics, engineering, computer science, computational physics, or economics.
- 4+ years of experience in building natural language processing and natural language understanding solutions for challenging real-world problems.
- Project experience with the modern Transformer / Attention architecture for text summarization, vectorization, entity extraction, and reasoning.
- Experience with emerging Large Language Model offerings from Open AI, Google, Anthropic, and other industry leaders.
- Experience in Python & related framework / libraries needed for NLP / LLM’s, knowledge of algebraic modeling languages.
- Experience with advanced statistical modeling for outlier detection, estimation of missing data, generation of synthetic data.
- Understanding of investment strategies and asset classes is a plus.
- Experience in various modeling techniques such as balance sheet modeling, econometrics / statistical analysis, mathematical optimization, is desirable.
- Strong analytical skills, attention to detail, and the ability to work as part of a team in a fast-paced environment.
- Excellent interpersonal, oral, and written communication skills.
Our benefits include 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 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.
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.
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.
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