AI Full Stack Engineering/Quantitative Modeling Director

Blackrock

Hybrid Actively hiring
New York Posted 45 days ago $225,000–$285,000 / year
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At a glance

AI generated

TL;DR

As a senior AI and engineering leader at BlackRock, you will architect autonomous agent systems for credit analysis, design agentic AI workflows using supervised architectures like LangChain/LangGraph, and drive the technical vision for AI-powered credit intelligence features. You will also own and evolve the credit knowledge graph, ensuring data quality and scalability, lead data lake unification across multiple sources, and design APIs to provide novel ways of leveraging credit analytics insights. Additionally, you will train and productionize ML models for credit risk using advanced techniques such as graph neural networks and Bayesian frameworks, expand private credit analytics coverage, and maintain financial models with rigorous development practices. This role requires a strong background in quantitative disciplines, experience with enterprise knowledge graphs, and the ability to work across various functions including portfolio managers and traders. Preferred candidates have experience in financial services or private markets, familiarity with large-scale financial technology systems, and regulatory compliance frameworks.

Skills

Python Java Kubernetes Docker CI/CD GraphQL PostgreSQL AWS Azure Google Cloud Platform Apache Spark TensorFlow PyTorch LangChain Bayesian Networks MRF Frameworks Temporal Convolutional Networks Knowledge Graphs API Design Data Lake Integration

What you'll do

  • Architect and lead development of autonomous agent systems for credit analysis.
  • Design agentic AI workflows using supervised architectures like LangChain/LangGraph.
  • Own and evolve the credit knowledge graph, ensuring data quality and scalability.
  • Lead data lake unification across multiple sources with high reconciliation accuracy.
  • Train, evaluate, and productionize ML models for credit risk prediction.
  • Expand private credit analytics coverage to address diverse client needs.

What we're looking for

  • 10+ years of industry experience in quantitative disciplines or financial technology.
  • Strong practical knowledge of products, modeling methodologies, and analytics in rates and derivatives space.
  • Experience with enterprise knowledge graph architecture and data lake unification across multiple sources.
  • Expertise in designing and implementing agentic AI workflows using supervised architectures like LangChain/LangGraph.
  • Leadership experience in managing a team of data scientists, modelers, and ML practitioners.
  • Excellent communication skills to convey technical concepts to non-technical stakeholders.

Market check

Salary context

This $225,000–$285,000 range sits above 81% of similar postings on FindRole.

Peer median band

$172,500–$260,550

Median floor and ceiling across peers.

Typical midpoint (25–75%)

$183,650–$246,150

Middle half of comparable postings.

Based on 240 comparable postings.

* 240 is the maximum number of comparable postings sampled.

Employer

About Blackrock

BlackRock is the world''s largest asset management firm, providing investment management, risk management, and advisory services to institutional and retail clients through its Aladdin technology platform. Industry: Asset Management & Financial Services

Blackrock currently has 83 open roles on FindRole.

Listed pay typically runs $137,500–$180,000 across 83 roles with salary data.

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