internship - execution quant - zurich

Vor 6 Tagen

Zürich, Zürich, Schweiz Kepler Cheuvreux Vollzeit CHF 80'000 - CHF 120'000 pro Jahr

DETAILS

  • Role: Execution Quant
  • Duration : 6 months
  • Start date: asap
  • Location: Zurich

KEPLER CHEUVREUX :

Kepler Cheuvreux is a leading independent European financial services company that specialises in Research, Execution, Fixed Income and Credit, Structured Solutions, Corporate Finance, and Asset Management.

The Group employs over 650 people and is present in 14 major financial centres in Europe, the US, and the Middle East: Amsterdam, Brussels, Dubai (DIFC), Frankfurt, Geneva, London, Madrid, Milan, New York, Oslo, Paris, Stockholm, Warsaw, and Zurich.

Group key figures:

  • 1st independent European equity broker
  • 1st Equity Research coverage in Continental Europe
  • 1st Country Broker and Research (Extel 2025)
  • "World's Best Broker" (Euromoney Capital Markets Awards 2025)
  • 14 major financial centres in Europe, the US, and the Middle East
  • 650+ employees
  • 1,300+ institutional clients

 ROLE:

The Quant Execution team is a hybrid Quant/Development team in charge of designing and implementing new strategies for its equity algo platform while maintaining and improving its current algo suite to achieve top quality of execution.

Candidates should have a drive for algorithmic execution and should be eager to work in a demanding environment. As a part of the team, you will be primarily working on the quantitative modelling of intra-day execution strategies along with the consolidation of our in-house frameworks of analytics and prediction models (volume curves, liquidity indicators, …). You will also be in close interaction with developers to help push the models to production, and then with algo-traders to monitor and backtest them.

REQUIRED SKILLS:

  • Scientific degree (MSc. or Ph.D) in a quantitative field such as financial mathematics, applied mathematics, statistics, or computer science.
  • Fluency in Python to interact with our research environment.
  • Problem-solving mindset, with an emphasis on practical and realistic solutions that can eventually be pushed to production.
  • Excellent verbal and written communication skills, to collaborate with other quants, developers, and algo-traders in an English-speaking environment.
  • Ability to be responsive, as models may require support through quick analysis or adjustments during the intra-day trading period.

Good to have:

  • Experience with Big Data technologies such as Snowflake, Apache Spark, or Databricks.
  • Familiarity with Market Microstructure and limit order book (LOB) data.

 RECRUITMENT PROCESS:

Between 2 and 3 rounds of interviews: both fit and technical questions

You will need a flexible and creative approach in order to flourish in our international environment and succeed with our diverse client base. If you possess these qualities and would like to be part of Kepler Cheuvreux's story, then come and join us

Please note that Kepler Cheuvreux promotes equal opportunity. All applications will be given due consideration.

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