(Junior) Quant Analyst (m/w/d) - Alphawave

As a (Junior) Quant Analyst, you work on the development and validation of quantitative trading models. You analyze data, test hypotheses, andsupport models from research through to production — with a direct impact on robustness, performance, and scalability of our strategies.

1. Quantitative research & model development: You develop, test, and refine quantitative trading models based on historical and live market data. In doing so, you analyze market structures, price formation mechanisms, and statistical patterns.
2. Backtesting & validation: You design and conduct backtests, simulations, and robustness analyses, evaluate model performance and drawdowns, and derive data-driven optimization approaches.
3. Signal & feature engineering: You work on the development and evaluation of new signals, features, and model parameters, assessing their stability across different market regimes.
4. Model analysis & documentation: You critically analyze existing models, identify weaknesses and improvement potential, and document assumptions, results, and decision logic in a transparent and reproducible manner.
5. Collaboration within the team: You work closely with quantitative researchers, traders, and developers, contributing structured research insights to the ongoing improvement of our models and systems.
6. Bridge between research & implementation: You support models from the research stage through to productive deployment and assist in translating research ideas into stable, scalable trading logic.

1. Completed university degree (or equivalent qualification) in Mathematics, Physics, Computer Science, Financial Mathematics, Engineering, Economics , or a comparable quantitative discipline
2. Strong analytical and logical thinking skills with a high affinity for numbers, data, and models
3. Strong research drive and intrinsic motivation to investigate complex problems deeply and thoroughly
4. High endurance and intellectual resilience in demanding, long-running research and analysis processes
5. Ability to rigorously examine models — and the discipline to discard approaches without hesitation if they fail statistically, economically, or operationally
6. Critical mindset toward hypotheses, objective evaluation of results, and a clear focus on impact over elegance
7. High level of initiative, responsibility, and a strong ownership mindset
8. Understanding of financial markets, market mechanics, and capital market products
9. Initial experience with quantitative methods, statistical analysis, time series, or systematic strategies is a plus
10. Programming skills (e.g. Python, NumPy, pandas, optionally R or MATLAB) are desirable but not required — confident handling of data and numbers is essential
11. Interest in reproducible research, model robustness, data quality, and clean validation processes
12. Enthusiasm for innovative technologies, small high-performance teams, and a demanding quantitative environment

1. A growing, highly specialized quantitative investment team in the heart of Düsseldorf with direct access to decision-makers and experts
2. Clear structures, short decision paths, and visible impact of your work on models and strategies
3. Structured onboarding with close access to models, data, tools, and research processes
4. Performance-oriented compensation with an attractive base salary and variable component
5. Steep learning curve through direct collaboration with experienced quants, traders, and developers
6. Deep insights into systematic strategies, backtesting, risk models, and execution logic
7. Team culture with high standards, open feedback, and a strong focus on collective growth