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Quantitative Researcher

2 mesi fa


Milano, Lombardia, Italia Intesa Sanpaolo Group A tempo pieno

**About Intesa Sanpaolo Group**

Intesa Sanpaolo is the leading banking group in Italy, serving 14.6 million customers through a national network of approximately 5,360 branches. The group contributes to the development of businesses and the growth of the country. We are seeking qualified profiles who want to challenge themselves with demanding and stimulating career paths with the following requirements:

**Key Responsibilities**

  • Conducting alpha research and strategy development with a primary focus on idea generation, data gathering and research/analysis, model implementation and back testing for systematic multi-asset global strategies with intraday or mid-frequency holding periods.
  • Combining sound financial insights and statistical learning techniques to explore, analyze, and harness a large variety of datasets in order to build strong predictive models which will be deployed to the investment process.
  • Cooperating with other teams and engaging with the whole investment process (portfolio construction, risk management, execution, etc.).

**Requirements**

  • A minimum of 5 years of experience working in a quantitative research capacity focusing on systematic trading strategies.
  • A track record developing, deploying, and managing strategies in a multi-asset environment, with an inception-to-date Sharpe Ratio of 1.2+ and/or Sortino Ratio of 1.5+.
  • Strong research and programming skills.
  • Bachelor or Master degree in a quantitative subject such as Applied Mathematics, Statistics, Computer Science, Engineering, Econometrics, etc. or equivalent experience.
  • Fluent in Matlab and/or Python. Familiarity with other programming languages (e.g. Java, C++, C#, etc.) is welcome.
  • Deep understanding of object-oriented programming.
  • Demonstrated strong abstract reasoning and independent problem-solving skills.
  • Experience exploring, researching, and deploying trading signals from various sources of data.
  • Experience in quantitative finance, econometrics, and asset pricing.
  • Curious, ambitious, self-starter mindset.