Millennium management

Quantitative Researcher, Equity

18/01/2025
Apply Now
Deadline date:

Job Description

Quantitative Researcher, Equity
Quantitative Researcher, Equity

Job Description: Quantitative Researcher, Equity

Job Description

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

Preferred Location

London

Principal Responsibilities

  • Working alongside the SPM on 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 SPM in a transparent environment, engaging with the whole 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

  • 3-5 years of experience with cash equities strategies doing alpha research
  • Demonstrated ability to understand fundamental and event related data and experience with alternative data sources

Highly Valued Relevant Experience

  • Strong economic intuition and critical thinking
  • Product experience in statistical arbitrage strategies

Target Start Date

  • As soon as possible
Job ID REQ-23995

Millennium management

Quantitative Researcher, Equity

14/01/2025
Apply Now
Deadline date:

Job Description

Quantitative Researcher, Equity


Job Description: Quantitative Researcher, Equity


Job Description

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


Preferred Location

London


Principal Responsibilities

  • Working alongside the SPM on 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 SPM in a transparent environment, engaging with the whole 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

  • 3-5 years of experience with cash equities strategies doing alpha research
  • Demonstrated ability to understand fundamental and event related data and experience with alternative data sources


Highly Valued Relevant Experience

  • Strong economic intuition and critical thinking
  • Product experience in statistical arbitrage strategies


Target Start Date

  • As soon as possible