Data Scientist (Financial Trading - Time-Series)

Please note, that fluent German Language skills are required.

Our client is looking for a (Senior) Data Scientist to take a central role in shaping its data science capability.

The Role

You will act as the go-to Data Scientist, owning the development and application of models that analyze and predict market behaviour. This is a highly hands-on role with real influence over how data science is used across the business.

Your work will focus on:

• Time series modelling of financial data (price, volume, volatility)

• Building models to predict short-term market movements and demand signals

• Analyzing event-driven data (e.g. news, social media) and translating it into actionable insights

• Combining classical statistical methods with machine learning and LLM-based approaches

• Running backtesting and model optimization on historical datasets

What They're Building

• Models across 10,000+ financial instruments, often grouped and benchmarked

• A system that links text-based signals (LLMs) with quantitative models

• A data-driven approach to real-time trading decisions

Profile

• Strong experience in time series analysis / forecasting

• Background in statistics, econometrics, or quantitative modelling

• Proficiency in Python

• Experience applying models in a pragmatic, problem-solving way

• Curiosity and ability to work independently with high ownership

Why Join

• Opportunity to be the first / lead Data Scientist, with real ownership

• Direct impact on live trading decisions

• Blend of traditional modelling and modern AI (LLMs, ML)

• Flexible, remote working environment