Junior Quant Researcher

As Junior Quant Researcher, you own alpha signals and risk models for Europe's best performing technology funds and a concentrated list of tomorrow's leading tech companies. You report to Benjamin Kauper (Director Systematic Strategies & Risk) and join a team of three quants working directly with Portfolio Management and Fundamental Research.

What you'll do

• Own the alpha-signal and risk-model lifecycle for a watchlist in benchmark-independent, highly active portfolios that turn over three to four times a year.
• Test the fundamental team's hypotheses systematically. What holds out-of-sample becomes a signal we trade, what does not gets removed based on factual evidence.
• Spend roughly 70% of your week on research, idea generation and backtesting, and 30% on production code that puts the models into the live environment.
• Turn economic hypotheses into testable time-series models: stationarity, autocorrelation, AR/MA/ARIMA, regularized regression, etc.
• Build in Python and SQL on AWS with a Snowflake DWH, and use LLMs to turn alternative data signals into tradable signals.

What you'll need

• First full-time experience (1-2 years) in quantitative research or data science in the investment domain, or several substantial internships in those areas during your studies.
• A completed Master's or PhD in mathematics, physics, computer science, statistics, economics or finance, with excellent results.
• Command of probability, regression, time-series analysis, and first exposure to machine learning.
• Strong coding skills in Python and SQL.
• Experience with leveraging LLMs to conduct research, designing your own investment strategies or building personal side projects.
• Fluency in English, our working language.

What they offer

• Become part of a unique success story in European asset management, with real influence over a concentrated, high-conviction portfolio.
• Work with terabytes of data, advanced research tools, and proprietary alternative data.
• A motivated, international team of 15 nationalities with flat hierarchies and direct access to management team and investors.
• Day 1 ownership of challenging, varied work, a steep learning curve, and transparent, appreciative feedback culture.