About Point72
Harnessing data for smarter investment decisions
Key Highlights
- Manages over $20 billion in assets
- Founded by billionaire investor Steven A. Cohen
- Employs around 2,000 professionals
- Headquartered in Stamford, Connecticut
Point72 Asset Management, LP, headquartered in Stamford, Connecticut, is a prominent hedge fund managing over $20 billion in assets. Founded by billionaire investor Steven A. Cohen, Point72 employs around 2,000 professionals and utilizes advanced data analytics and AI/ML technologies to drive invest...
🎁 Benefits
Point72 offers competitive salaries, performance-based bonuses, equity participation, generous PTO policies, and comprehensive health benefits. The fi...
🌟 Culture
Point72 fosters a culture of intellectual curiosity and data-driven decision-making. The firm emphasizes collaboration and innovation, encouraging emp...
Skills & Technologies
Overview
Point72 is hiring a Data Engineer to design and maintain robust data pipelines and ETL workflows. You'll work with Databricks and collaborate with data scientists and analysts to support the firm's data needs. This position requires experience in data engineering and cloud computing.
Job Description
Who you are
You have a strong background in data engineering, with experience in designing and maintaining data pipelines and ETL workflows. You are proficient in using Databricks and have a solid understanding of cloud computing principles. Your ability to collaborate with data scientists, analysts, and portfolio managers allows you to effectively understand and meet data needs.
You are skilled in data governance and data quality, ensuring that the data you work with is reliable and accurate. Your experience with large volumes of structured and unstructured financial data enables you to ingest, process, and normalize data from various sources efficiently. You are committed to optimizing the performance of data pipelines to ensure high availability and reliability.
What you'll do
In this role, you will design, develop, and maintain robust data pipelines and ETL workflows in Databricks, supporting quantitative research, trading, and risk management. You will collaborate closely with data scientists, analysts, and portfolio managers to understand their data needs and deliver scalable data infrastructure. Your responsibilities will include ingesting, processing, and normalizing large volumes of financial data from diverse sources, ensuring that data quality and governance standards are met.
You will optimize the performance of data pipelines, ensuring high availability and reliability across all production environments. Your work will directly contribute to Point72's mission of reimagining the future of investing through innovative data solutions. You will be part of a global team that embraces enterprise agile methodology and encourages professional development, allowing you to bring innovative ideas to the firm's products.
What we offer
Point72 offers a competitive salary range of $180,000-$225,000, which does not include discretionary bonus compensation or a comprehensive benefits package. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds. Join us in shaping the future of investing through data-driven solutions.
Interested in this role?
Apply now or save it for later. Get alerts for similar jobs at Point72.
Similar Jobs You Might Like
Based on your interests and this role
Data Engineer
Hatch is seeking a Senior Data Engineer to build and optimize data pipelines that support analytics and AI initiatives. You'll work with technologies like Kinesis, Apache Spark, and Airflow in New York City. This role requires proven software development experience and expertise in building production APIs.
Data Engineer
Qloo is seeking a Data Engineer to design and build data pipelines that support analytics and machine learning. You'll work with AWS Glue, Spark, and Airflow to ensure data accuracy and accessibility. This role requires experience in data engineering and proficiency in Python.
Data Engineer
Imprint is hiring a Data Engineer to build and scale data infrastructure that supports product development and analytics. You'll work in a collaborative environment to deliver reliable data solutions. This position requires experience in data engineering and a passion for FinTech.
Data Engineer
DriveWealth is hiring a Data Engineer to join their Data & Analytics team, focusing on building innovative data products that provide actionable insights. This role requires expertise in data management and analytics.
Data Engineer
Figma is hiring a Data Engineer to own and scale data pipelines while collaborating with Data Science and business teams. You'll work with SQL, Python, and Airflow to ensure reliable data delivery. This role requires experience in data systems and problem-solving skills.