Job Description

Description



About this role





BlackRock Overview:


BlackRock is one of the world's preeminent asset management firms and a premier provider of global investment management, risk management and advisory services to institutional, intermediary, and individual investors around the world. BlackRock offers a range of solutions -- from rigorous fundamental and quantitative active management approaches aimed at maximizing outperformance to highly efficient indexing strategies designed to gain broad exposure to the world's capital markets. Our clients can access our investment solutions through a variety of product structures, including individual and institutional separate accounts, mutual funds and other pooled investment vehicles, and the industry-leading iShares ETFs.


Aladdin Financial Engineering Group (AFE):


AFE is a diverse and global team with a keen interest and expertise in all things related to technology and financial analytics. The group is responsible for the research and development of quantitative financial and behavioral models and tools across many different areas - single-security pricing, prepayment models, risk, return attribution, liquidity, optimization and portfolio construction, scenario analysis and simulations, etc. - and covering all asset classes. The group is also responsible for the technology platform that delivers those models to our internal partners and external clients, and their integration with Aladdin.


AFE conducts leading research on the areas above, delivering state-of-the-art models. AFE publishes applied scientific research frequently, and our members present regularly at leading industry conferences. AFE engages constantly with the sales team in client visits and meetings.


Job Purpose/Background:


Aladdin Financial Engineering is looking for Generative AI experts to join the Investment AI team. Responsibilities include researching, developing, and implementing large language model (LLM) applications using prompt engineering, deploying intelligent agents, fine-tuning, or training language models from scratch as required. Additionally, integrate signals generated from LLM applications into existing proprietary machine learning models.


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.