Quant Researcher

IT & Technology
USA or Europe
Quant Researcher US & EU

Job Description

Quantitative Researcher as part of a small, collaborative team based in Chicago, with a focus on intraday systematic equity strategies.

Preferred Location

Any location in US or Europe. Candidate should have good communication skills to be able work with team members remotely.


Principal Responsibilities

  • Work alongside the PM on intraday alpha research, with a primary focus on: idea generation, data gathering and research/analysis, model implementation and backtesting for systematic equity strategies
  • Combine sound financial insights and statistical learning techniques to explore, analyze, and harness a large variety of datasets in order to build strong predictive models which will be deployed to the investment process
  • Collaborate with the PM in a transparent environment, engaging with the entire investment process


Preferred Technical Skills

  • Strong research and programming skills in Python are necessary
  • Masters or PhD degree in a quantitative subject such as Computer Science, Applied Mathematics, Statistics, or related field from a top ranked university


Preferred Experience

  • Approx. 3-4 years of experience as a quantitative researcher/trader in systematic equities with a focus on closing auction strategies
  • Approx. 3-4 years of market microstructure alpha research
  • Demonstrated ability to understand fundamental and event related data and experience with alternative data sources
  • Demonstrated ability to conduct independent research using large data sets


Highly Valued Relevant Experience

  • 3-4 years within a Central Risk Book team at a bank
  • Strong economic intuition and critical thinking
  • Product experience in statistical arbitrage strategies, event-driven strategies or auctions trading
  • Trading experience would be desirable but is not required

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