Gen AI, Associate

About this role

Familiarity with following areas is essential:

• Understanding of traditional statistical / machine learning techniques for tabular data

• Understanding of traditional natural language processing solutions on unstructured financial datasets

• Understanding of RNN, LSTM, Transformer architectures

• Understanding of language models like BERT (encoder-only), GPT (decoder only) FLAN T5 (encoder-decoder) including both open source and close source LLMs

• Hands on experience with orchestration frameworks like LangChain, LlamaIndex

• Hands on experience in building, evaluating, deploying, and monitoring of RAG, Agent or LLM Finetuning based LLM applications.

• Hands on experience with serving / inferencing frameworks like TGI, vLLM

• Hands on experience with MLOps/LLMOps services in any of the cloud providers (GCP/Azure/AWS)

Key Responsibilities:

• Conduct research in emerging areas of Generative AI and apply findings to financial datasets, including both public and private data sources, to address business challenges.

• Serve as an expert in large language models and natural language processing for financial data.

• Collaborate with domain experts and modelers across teams to support the development of BlackRock’s Investment AI team’s models for clients.

• Develop LLM applications using prompt engineering, agents, and fine-tuning as needed.

• Support the internal validation process through benchmarking analysis, user engagement, and comprehensive model documentation.

• Create end-to-end MLOps/LLMOps pipelines for continuous monitoring and improvement of LLM applications.

• Additional responsibilities include working on synthetic data generation techniques, and other advanced methodologies.

• Keeping yourself updated with the latest advancements in Generative AI and suggest new/innovative solutions.

Skills & Qualifications:

• Bachelor or master’s level education with a focus on statistics, mathematics, engineering, climate science, or economics

• 3+ years of experience in building natural language processing solutions for challenging real world financial data.

• Project experience with the modern Transformer/Attention architecture for text summarization, vectorization, entity extraction and reasoning

• Experience with emerging LLM products from Open AI, Google, 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.

• 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: 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.