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Quantitative Researcher

eFinancialCareers
Job LocationBromley
EducationNot Mentioned
SalaryCompetitive salary
IndustryNot Mentioned
Functional AreaNot Mentioned
Job TypePermanent , full-time

Job Description

A small, collaborative, and entrepreneurial systematic investment team is seeking a strong commodities quantitative researcher to join in developing new signals and strategies. This opportunity provides a dynamic and fast-paced environment with excellentopportunities for career growth.Job DescriptionQuantitative Researcher as part of a small, collaborative systematic global macro team with a focus on applying cutting edge techniques to strategies across the commodities, fixed income, and FX space.LocationFlexible, with slight preference for SwitzerlandPrincipal Responsibilities

  • Identify and onboard new global markets and datasets
  • Analyze and manipulate large and diverse data sets for idea generation and alpha research with a focus on the commodities space
  • Research and develop signals, leveraging a variety of market and fundamental datasets, to be deployed in systematic trading strategies
  • Collaborate with the Senior Portfolio Manager and team in a transparent environment, engaging with the whole investment process from idea generation through execution with a focus on the Global Commodities space
Preferred Technical Skills
  • Strongly skilled in Python
  • Experience programming in C is a plus
  • Bachelor, Master’s, or PhD degree in Computer Science, Engineering, Applied Mathematics, Statistics or related STEM field
  • Excellent communication, analytical, and problem-solving skills
Preferred Experience
  • 2-4 years of experience working in a quantitative research capacity with a focus on Ags, Energy, Metals, Fixed Income, FX, or Equity Index strategies
  • Experience working with large and diverse data sets, specifically data sets associated with the commodity markets
  • Commodities market experience modeling futures curves and/or cross-market relationships
Highly Valued Relevant ExperienceExperience in quantitative, econometrics, asset pricing, or macro sub-fieldsExperience with machine learning, statistical techniques and related librariesCV to

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