Full Stack Engineer

AI overview

Develop and enhance web applications using React, Tornado, and FastAPI, while managing data systems and improving existing technologies for trading and analytics.

Job Description

Quantitative software developer who will focus on full stack development for the Internal Alpha Capture team.

Job Responsibilities:

  • Maintain and improve web-based applications (React/Tornado/FastAPI) used to support research, performance analytics and trading.
  • Analyze, understand, and improve upon existing technologies and processes (front-end and back-end testing, load testing).
  • Design, implement, and manage systems for data ingestion, ETL, distribution, and related processes.

Requirements:

  • Undergraduate degree or higher in computer science, computer engineering, or other related discipline.
  • 3+ years of experience in full-stack application development.
  • Expertise in React (functional components, hooks, context API).
  • Strong Python programming skills, particularly in building RESTful APIs (Flask/Tornado/FastAPI).
  • Knowledge of DevOps and Linux/Unix.
  • Experience in software engineering and clear understanding of business values and impact of technology initiatives.
  • Ability to communicate both within the team and with other business units clearly and efficiently.
  • Detail oriented and curious about the latest trends in technology.
  • Commitment to the highest ethical standards.

About Point72:

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.

Point72 Asset Management, led by Steven Cohen, is a global firm specializing in diverse asset classes and strategies, prioritizing superior returns and ethical standards through innovative talent development and data-driven decision-making.

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