Quantitative Researcher at Numus - ScoutJobs - The AI-curated global job board
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Quantitative Researcher

NumusQuantitative Researcher

Requirements

Mathematics, Statistics, Physics or Theoretical Computer Science background, Experience in model building and backtesting, Strong mathematical and statistical modeling skills, Intermediate Python and C++, Experience with large datasets

Skills

PythonC#Machine Learning

About the role

Responsibilities

  • Employ a rigorous scientific approach to develop sophisticated investment models and deliver insights into how markets behave
  • Apply quantitative techniques, like machine learning, to a vast and innovative array of datasets
  • Create and test complex investment ideas and develop algorithms that lead to trading decisions
  • Analyze investment model performance and behavior, aiming for constant improvements
  • Work closely with our team of experienced developers to translate investment models into production code

Requirements

  • Educational background in Mathematics, Statistics, Physics or Theoretical Computer Science
  • Solid experience in model building, backtesting, parameter optimization, and execution engine design
  • Strong mathematical and statistical modeling skills, such as time-series analysis
  • Intermediate programming skills in Python and C++
  • Experience working with and analyzing large datasets
  • Fluent English

About the Company

We are a well-resourced startup operating in the digital asset space, focused on developing alpha through systematic trading strategies.

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Quantitative Researcher

Numus · London

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