Vice President, NLP Engineer, Gen AI- Portfolio Management Group

4-6 years
a month ago 4 Applied
Job Description



About this role

Business Overview

Data Strategy & Solutions 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 model to capture and extract unstructured data from varied sources & reports and build out of quantitative/ML based components for generating alpha.

Familiarity With 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 modelling 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 modelling 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

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 | Twitter: @blackrock | LinkedIn:

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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