Data Scientist (Investments) / Senior Data Scienti...

Job description

Job description:

  • Collaborate with other members of the investment team on predictive analytics, cross-sectional and time series analysis and natural language processing related projects.
  • Apply machine learning and statistical techniques to build models derived from financial and alternative data.
  • Deliver insights to team members using data visualization tools such as proprietary dashboards.
  • Deploy and maintain production models on cloud infrastructure.
  • Contribute to data sourcing strategy supporting our prediction efforts, such as evaluating new sources of data for investment signals.
  • Prepare research reports that communicate the processes and outcomes of investment data science projects.

Relevant Experience and Qualifications

  • Technical academic backgrounds (Data Science, Statistics, Mathematics, Operations Research, Physics, Econometrics, Financial Engineering).
  • Work experience in finance, asset management, consulting, equity research.
  • Programming skills: Python, R, SQL, Cloud Engineering on AWS or GCP.
  • Experience working with large datasets, including classification, regression and other predictive modelling techniques.
  • Empirical, detail-oriented mindset.
  • A strong track record of working both independently and within a small team.
  • Strong problem-solving skills, critical thinking, intellectual curiosity and passion.

Candidates with the following will have an advantage:

1. Practical experience developing quantitative investment strategies would be a plus.

2. Finance related qualifications such as the Chartered Financial Analyst.

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