Alternative Data Analyst

3 weeks ago


London, UK, United Kingdom Capital Markets Recruitment Full time

Our client, a global leading multi-manager multi-strategy hedge fund, is looking to add a Quantitative Analyst to the team of one of their top performng Portfolio Managers. The ideal candiate will have 3-4+ years of experience working directly with alternative data sets (assessing data sets, applying them and modelling them to predict underlying company KPI's).


Responsibilities:


  • Help management and scaling-up of a quantamental, mid-frequency, equities portfolio
  • Day-to-day oversight of the production processes
  • Research and development of new signals: including idea generation, data ingestion, research and trading
  • Build-out of the systematic trading infrastructure


Qualifications:


  • 2-7 years as a Quantitative Researcher, Quantitative Developer, Data Analyst or Data Scientist
  • Experience with equities and equities data (alternative data, market data, fundamental data)
  • Experience with alternative data in the investment context, turning data into actionable insights
  • BSc / MSc / PhD in a technical discipline from a top university
  • Experience using Python in a production setting (expertise in Pandas, Numpy, Airflow…)


Nice to have:


  • Exposure to the fundamental investment process (e.g. Data Analyst working alongside fundamental PMs)
  • Specific sector expertise (in the context of alternative data)
  • Exposure to the systematic trading process
  • Experience with cloud infrastructure (AWS preferred) with working knowledge of multiple AWS services (S3, EC2, EKS, SQS, Redshift, IAM, ...)
  • Experience working in a Linux environment
  • DevOps tools: Airflow, Git, Jenkins, Docker, Kubernetes
  • Big Data tools: e.g. Databricks, Snowflake, Redshift
  • Research / trading for options (cash equities ideally)
  • Experience with web-scraping
  • Experience with execution, TCA and commercial risk-models
  • Open to candidates from the buy-side (HF experience is preferred)


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