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Quantitative Developer
Quantitative DeveloperPoint72 Asset Management, L.P • New York, NY, United States
Quantitative Developer

Quantitative Developer

Point72 Asset Management, L.P • New York, NY, United States
[job_card.variable_days_ago]
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  • [job_card.full_time]
[job_card.job_description]

Role / Responsibilities :

  • Building components for both live trading and simulation of equities derivates portfolios
  • Refining and increasing automation and robustness of the research infrastructure including alpha estimation, risk modeling, and backtesting components
  • Maintaining and updating the platform, ensuring its stability, robustness, and security
  • Identifying deficiencies in the trading platform and deploying solutions
  • Developing robust data checking and storage procedures
  • Troubleshooting and resolving any systems-related issues and handling the release of code fixes and enhancements

Requirements :

  • Bachelors degree or higher in computer science or other STEM discipline
  • Strong communication skills
  • Strong programming skills in Python
  • Strong motivation and excitement for the role
  • Experience with volatility and equity derivates a plus
  • Experience with database design and large datasets
  • Willing to take ownership of his / her work, working both independently and within a small team
  • 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 industrys brightest talent by cultivating an investor-led culture and committing to our peoples long-term growth.

    The annual base salary range for this role is $200,000-$250,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and / or skill level, among other things.

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