Autonomous Algorithmic Trader Engineer

Covolt; Veghel; Hybrid; EUR 90,000 - 140,000; Full time

Benefits offered by this job

Hybrid work

Competitive salary

27 vacation days

Birthday day off

Pension plan

Training & development

Job summary

Covolt is seeking an Algorithmic Trader Developer to join our team focused on autonomous trading decisions across short-term power markets. You will work with data scientists and developers to build and productionize decision models, signaling logic, and execution systems that operate in real time with minimal manual intervention.

You will translate market insights and data into robust, backtestable trading algorithms, continuously testing and refining strategies across Day-Ahead, Intraday, FCR

Qualifications

• MSc or equivalent in Econometrics, Data Science, CS, Math, Physics, Engineering.
• Strong programming, quantitative and conceptual skills.
• Affinity with algorithmic trading, financial markets, and quantitative modelling.
• Experience with APIs, databases and real-time data streams is a plus.
• Experience with backtesting, simulation or trading strategy development is a strong plus.
• Independent, proactive, results-oriented mindset and clear communication with traders and developers.

Responsibilities

• Develop and optimise algorithmic trading strategies across Day-Ahead, Intraday, FCR, and aFRR.
• Develop decision models that independently determine in real-time trading actions.
• Design signal, pricing, and execution logic for autonomous trades.
• Develop models for trade/no-trade decisions, position sizing, timing and order placement.
• Analyze real-time market data, order book data, forecasts and external signals.
• Investigate market structures, price movements, volatility, liquidity and order flow.
• Develop and test predictive models and statistical trading signals.
• Translate trading hypotheses into production-ready decision logic.
• Build and improve real-time data pipelines and analytics tools.
• Integrate algorithms with trading systems, APIs and execution engines.
• Conduct backtests, simulations and scenario analyses.
• Validate strategies for P&L, risk, robustness, execution quality and scalability.
• Analyze slippage, latency, execution issues and market anomalies.
• Monitor and optimise algorithms in live trading.
• Identify new market inefficiencies and translate into new trading strategies.
• Contribute to continued development of the algorithmic trading stack.
• Work with traders, data scientists and developers across the strategy lifecycle.
• Iterate quickly from research to backtest to production.

Skills

Python programming

Quantitative modelling

Data analysis

Backtesting

APIs

Real-time data streams

Trading systems

Education

MSc or equivalent in Econometrics, Data Science, Computer Science, Mathematics, Physics, Engineering

Tools

APIs

Databases

Backtesting frameworks

Job description

Covolt is seeking an Algorithmic Trader Developer to join our team focused on autonomous trading decisions across short-term power markets. You will work with data scientists and developers to build and productionize decision models, signaling logic, and execution systems that operate in real time with minimal manual intervention.

You will translate market insights and data into robust, backtestable trading algorithms, continuously testing and refining strategies across Day-Ahead, Intraday, FCR