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Quantitative Researcher

Company: Quantitative Systems
Location: San Francisco
Posted on: June 26, 2022

Job Description:

Quantitative Researcher We combine quantitative research, software engineering and rigorous scientific investigation to build credit portfolios that produce strong and consistent yields across business cycles. - - We are a small team of fewer than 15 with a diversity of ideas and backgrounds applying machine learning, software engineering and rigorous scientific investigation to revamp the lending and securitization space. Every member of the team has a major impact on the company's success, and gets to see their contributions working in the real world. Building good financial forecasting models is extremely challenging from both a technology and research point of view. We are based in San Francisco, close to Caltrain and BART. We deeply value intellectual curiosity, creative idea generation, and close collaboration. We offer above market equity and cash compensation, and generous benefits including paternity and maternity leave policy. What you bring to the table

  • A high level of mathematical and statistical literacy, and an intense interest in applying quantitative analysis to do first class research.
  • You should be a good scientist. -You need to know when you have something and when you don't, you cannot be fooled by randomness.
  • You must be comfortable and enjoy working with data. -This is the lifeblood of our business, your hypotheses start there and your testing ends there.
  • You should be creative. -You will be coming up with original hypotheses to expand and refine our understanding of the world, and a framework to validate them.
  • You must be comfortable writing code. -Nobody will be doing it for you. -The better you are at it, the more efficiently you can explore the model space and find winning ideas.
  • Research background devising novel approaches to solving problems and applying them to real world data to achieve robust, repeatable results.
  • Knowledge of finance is cool - but in no way a requirement. What you'll do
    • You'll investigate data, construct a hypothesis, and think deeply about the results. -After several iterations, you will discover something new. -Instead of writing a paper, you will actually apply your ideas in the real world and see them working.
    • You'll need to care more about analysis being correct then achieving a p-value below 0.05.
    • You'll collaborate with a group of colleagues with a variety of backgrounds in a process of scientific inquiry.
    • By honestly and openly reviewing others' work, and having your work reviewed by them, you'll be a guardian of the research process at Theorem.
    • We're using ideas across multiple disciplines: computer science, machine learning, statistics and biostatistics including survival analysis, supervised learning, natural language processing, imbalanced data, feature extraction and selection, and many, many other areas.

Keywords: Quantitative Systems, San Francisco , Quantitative Researcher, Other , San Francisco, California

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