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A Career with Point72's AI/ML – Investment Services Team

\n

The AI/ML – Investment Services team at Point72 spearheads the development of cutting-edge AI solutions that seek to transform our business processes and enhance enterprise intelligence. The team aims to bridge the gap between business challenges and technological innovation, collaborating with stakeholders across the firm and leveraging expertise in generative AI, data engineering, and machine learning.

What you’ll do

\n

- Design, build, and maintain scalable data pipelines and ETL processes using Python and distributed processing frameworks on Databricks and cloud platforms

- Ingest, normalize, and enrich large volumes of structured and unstructured data including market feeds, vendor datasets, documents, and alternative data

- Collaborate with AI engineers, data scientists, and software engineers to define data schemas, interfaces, and APIs that support model development and production services

- Implement automated data validation, testing, monitoring, and alerting to ensure data quality, freshness, and drift detection for offline and online workloads

- Optimize pipeline performance and cost through efficient use of distributed compute, storage patterns, and cloud resource management

- Enforce data governance, access controls, and privacy standards while maintaining metadata and end-to-end data lineage using data cataloging tools

- Support onboarding and integration of external data vendors, including contract-driven ingestion workflows, metadata capture, and delivery SLAs

- Build reusable data components, libraries, and deployment automation to accelerate delivery and operational stability of data products

- Evaluate and run proof-of-concepts for new data technologies and tooling relevant to generative AI and machine learning applications

What’s required

\n

- Bachelor’s degree in Computer Science, Engineering, or a related technical field

- Minimum 3 years of professional experience in data engineering or a closely related role

- Proficient in Python development for production data systems

- Strong experience with Spark or comparable distributed data processing frameworks

- Experience building and operating data pipelines on cloud platforms, specifically AWS

- Strong SQL skills and practical experience with data modeling and data warehousing concepts

- Experience working with both structured and unstructured data, including document and time-series data

- Demonstrated experience implementing data quality, monitoring, and data governance practices

- Excellent written and verbal communication and collaboration skills and a commitment to the highest ethical standards

- Commitment to the highest ethical standards

\n

About Point72

\n

Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry's brightest talent by cultivating an investor-led culture and committing to our people's long-term growth. For more information, visit https://point72.com.

\n
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The team aims to bridge the gap between business challenges and technological innovation, collaborating with stakeholders across the firm and leveraging expertise in generative AI, data engineering, and machine learning.\u003C/p\u003E\u003Cbr\u003E\u003Ch3\u003EWhat you’ll do\u003C/h3\u003E\\n\u003Cp\u003E- Design, build, and maintain scalable data pipelines and ETL processes using Python and distributed processing frameworks on Databricks and cloud platforms\u003C/p\u003E\u003Cp\u003E- Ingest, normalize, and enrich large volumes of structured and unstructured data including market feeds, vendor datasets, documents, and alternative data\u003C/p\u003E\u003Cp\u003E- Collaborate with AI engineers, data scientists, and software engineers to define data schemas, interfaces, and APIs that support model development and production services\u003C/p\u003E\u003Cp\u003E- Implement automated data validation, testing, monitoring, and alerting to ensure data quality, freshness, and drift detection for offline and online workloads\u003C/p\u003E\u003Cp\u003E- Optimize pipeline performance and cost through efficient use of distributed compute, storage patterns, and cloud resource management\u003C/p\u003E\u003Cp\u003E- Enforce data governance, access controls, and privacy standards while maintaining metadata and end-to-end data lineage using data cataloging tools\u003C/p\u003E\u003Cp\u003E- Support onboarding and integration of external data vendors, including contract-driven ingestion workflows, metadata capture, and delivery SLAs\u003C/p\u003E\u003Cp\u003E- Build reusable data components, libraries, and deployment automation to accelerate delivery and operational stability of data products\u003C/p\u003E\u003Cp\u003E- Evaluate and run proof-of-concepts for new data technologies and tooling relevant to generative AI and machine learning applications\u003C/p\u003E\u003Cbr\u003E\u003Ch3\u003EWhat’s required\u003C/h3\u003E\\n\u003Cp\u003E- Bachelor’s degree in Computer Science, Engineering, or a related technical field\u003C/p\u003E\u003Cp\u003E- Minimum 3 years of professional experience in data engineering or a closely related role\u003C/p\u003E\u003Cp\u003E- Proficient in Python development for production data systems\u003C/p\u003E\u003Cp\u003E- Strong experience with Spark or comparable distributed data processing frameworks\u003C/p\u003E\u003Cp\u003E- Experience building and operating data pipelines on cloud platforms, specifically AWS\u003C/p\u003E\u003Cp\u003E- Strong SQL skills and practical experience with data modeling and data warehousing concepts\u003C/p\u003E\u003Cp\u003E- Experience working with both structured and unstructured data, including document and time-series data\u003C/p\u003E\u003Cp\u003E- Demonstrated experience implementing data quality, monitoring, and data governance practices\u003C/p\u003E\u003Cp\u003E- Excellent written and verbal communication and collaboration skills and a commitment to the highest ethical standards\u003C/p\u003E\u003Cp\u003E- Commitment to the highest ethical standards\u003C/p\u003E\u003Cbr\u003E\u003Ch3\u003E\u003C/h3\u003E\\n\u003Cbr\u003E\u003Ch3\u003EAbout Point72\u003C/h3\u003E\\n\u003Cp\u003EPoint72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry\'s brightest talent by cultivating an investor-led culture and committing to our people\'s long-term growth. 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