Join Point72’s Innovative AI/ML – Investment Services TeamThe AI/ML – Investment Services team at Point72 is at the forefront of developing transformative AI solutions aimed at revolutionizing our business processes and elevating enterprise intelligence. By bridging business challenges with technological advancements, our team collaborates closely with stakeholders across the firm, utilizing expertise in generative AI, data engineering, and machine learning.Your Role and ResponsibilitiesDesign, develop, and maintain high-throughput data pipelines using Databricks and AWS services (Glue, EMR, Fargate, Step Functions).Ingest, normalize, and enrich vast quantities of both structured and unstructured data, including internal datasets, market information, third-party feeds, document repositories, and alternative data sources.Work in tandem with AI Engineers, ML Scientists, and Software Engineers to convert model and product requirements into scalable data architecture, schemas, and APIs.Enhance pipeline performance (compute, storage, network) and reduce costs by applying distributed processing techniques (Spark, Delta, Arrow) and AWS best practices (spot fleets, autoscaling).Implement data governance, privacy, and lineage standards, cataloging assets in Unity Catalog, managing PII/PCI classification, and enforcing fine-grained access controls using Immuta/Ranger/IAM.Create automated validation, testing, and monitoring frameworks to ensure data quality, freshness, and drift detection for both offline and online workflows.Assist in onboarding and integrating new external data vendors, ensuring compliance with contracts, managing metadata, and achieving rapid time-to-value for relevant teams.Continuously assess emerging GenAI tools (vector stores, LLMOps platforms, synthetic-data generators) and lead proof-of-concept initiatives to enhance our data engineering capabilities.
Feb 6, 2026