Quantitative Analyst
2 settimane fa
Summary: As a software engineer on Point72 Asset Management, L.P.'s long/short equities investment team, you will collaborate closely with the investment team to bridge the gap between fundamental research and technological innovation. Your projects will span on-premises and AWS environments, leveraging technologies like Kafka, Spark, and Cloud warehouses. You will partner with the portfolio manager and team of analysts to explore and implement AI and machine learning applications within the team's investment strategy.
Key Responsibilities:
- Work alongside a portfolio manager and team of analysts to explore and implement AI and machine learning applications within the team's investment strategy.
- Develop quantitative insights to aid the investment team in generating investment ideas.
- Create tools and infrastructure to support and enhance the team's quantitative efforts.
- Integrate and process Compliance-approved data (structured and unstructured).
Requirements:
- Bachelor's degree in computer science, engineering, or a related technical field, or equivalent practical experience.
- Strong proficiency in SQL and Python (with an emphasis on Pandas, PySpark, etc.).
- Interest in Generative AI technology.
- Experience with cloud platforms, Terraform, CI/CD pipelines, Linux, Airflow, Databricks, Spark.
- Strong analytical skills and the ability to adapt to a rapidly changing environment.
- A commitment to upholding the highest ethical standards.
About Point72: Point72 Asset Management is a global firm led by Steven Cohen that invests in multiple asset classes and strategies worldwide. We seek to be the industry's premier asset manager through delivering superior risk-adjusted returns, adhering to the highest ethical standards, and offering the greatest opportunities to the industry's brightest talent.
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