Data Scientist

19 hours ago

London, Greater London, United Kingdom Point72 Asset Management, L.P Full time
About Point72 Asset Management, L.P

We deploy systematic, computer-driven trading strategies across multiple liquid asset classes.

Role

A Quantitative Researcher to help build out a systematic macro business. Core focus will be working on short-term to mid-frequency alpha strategies.

Responsibilities
  • Develop systematic trading models in fixed income, currency and commodity markets
  • Manage the research pipeline end-to-end, including signal idea generation, data processing, modeling, strategy backtesting and production implementation
  • Perform feature engineering with price-volume, order book and alternative data for intraday to daily horizons in mid frequency trading space
  • Perform feature combination and monetization using various modeling techniques
  • Assist in building, maintenance and continual improvement of production and trading environments coupled with execution monitoring
  • Contribute to the research infrastructure of the team
Requirements
  • Background in mathematics, statistics, machine learning, computer science, engineering, quantitative finance or economics
  • 2-5 years of experience in macro quantitative trading, preferably FICC
  • Experience synthesizing predictive signals for cross-sectional and time-series models driven by statistical/technical, fundamental and data driven signals
  • Ability to efficiently format and manipulate large, raw data sources
  • Strong experience with data exploration, dimension reduction and feature engineering
  • Demonstrated proficiency in Python and data science toolkits like scikit-learn, Pandas
  • Strong command of applied and theoretical statistics, linear algebra and machine learning techniques
  • Collaborative mindset with strong independent research abilities
  • Estimated salary: $120,000 - $180,000 per year

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