• Job Description

  Req#: REQ-16820
  Junior Data Scientist - London
  Job Summary
  We are looking to recruit a candidate to work as a Junior Data Analyst in one of our Long/Short Equity teams. Your job will involve discovering information hidden in vast amounts of data.
  Job Location : London
  Qualifications/Skills Required
  • Education: Bachelors or higher within relevant area of study such as Statistics, Mathematics, Data Science, Engineering, Physics or similar.
  • Excellent understanding of machine learning techniques and algorithms (k-NN, Naïve Bayes, SVM, Decision Forests etc).
  • Experience with common data science toolkits such as R, Weka, NumPy, MatLab etc.
  • Great communication skills
  • Good applied statistics skills, such as distribution, statistical testing, regression etc.
  • Good scripting and programming skills preferred
  • Data-oriented personality
  • Relevant work experience preferred
  Role
  • Your primary focus will be in applying data mining techniques, doing statistical analysis and building high quality prediction systems.
  • Data mining using state-of-the-art methods
  • Enhancing data collection procedures to include information that is relevant for building analytic systems
  • Processing, cleansing, and verifying the integrity of data used for analysis
  • Doing ad-hoc analysis and presenting results in a clear and timely manner
  • Creating automated anomaly detection systems and constant tracking of its performance
  • Conducting industry and company-specific research
  • Initiating and developing primary industry contacts
  • Committing your daily efforts to the highest levels of professionalism, integrity, and excellence
  • Ensuring the accuracy and quality of all of your recommendation materials
  • Supporting fundamental research into companies, industries, and sectors

• About the company

  Millennium is a global alternative investment management firm, founded in 1989, which manages $47.1 billion in assets. We seek to pursue a diverse array of investment strategies across industry sectors, asset classes, and geographies.

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