Quantitative trader

at  Lind Capital

Capital Federal, Buenos Aires, Argentina -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate07 Jul, 2024Not Specified08 Apr, 2024N/AService Providers,Trading,Programming Languages,Git,R,Danish,It,Statistics,Trading Strategies,Econometrics,Machine Learning,Stock Market,Python,Financial Markets,SqlNoNo
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Description:

Now is your chance to join our quantitative trading journey and help us win by excelling in deep market know-how, complex problem solving, and modelling.

WHO WE ARE

Lind Capital is a highly specialized company, trading on the financial markets with a focus on market know-how, cutting-edge technology, data driven decisions, and automation. We are a proprietary trading company with zero external investors allowing our 20+ employees in our cool offices in Aarhus to focus on quantitative models that deliver high returns.

WE EXPECT THAT YOU HAVE MOST OR ALL OF THE FOLLOWING QUALIFICATIONS:

  • You have an interest in the financial markets, and you are motivated to turn market know-how into income-generating trading strategies.
  • You can do complex problem solving and explain it in a simple way.
  • You are comfortable working with large amounts of intra-day data.
  • You have experience with statistics and econometrics.
  • You write clean and efficient Python code (or you can easily transition to Python from similar languages such as R).
  • You have experience with cross-functional teamwork.
  • You have a relevant university level education.
    It is a plus, but not a pre-requisite that you have experience and/or familiarity with the stock market, trading, other programming languages, machine learning, cloud service providers, SQL, and GIT.
    Fluency in Danish is not a pre-requisite.

Responsibilities:

Please refer the Job description for details


REQUIREMENT SUMMARY

Min:N/AMax:5.0 year(s)

Marketing/Advertising/Sales

Marketing / Advertising / MR / PR

Sales

Graduate

Proficient

1

Capital Federal, Buenos Aires, Argentina